Data Scientist jobs at Jacobs Enterprises - 110 jobs
Senior Data Scientist, Client Insights
Alloy 4.2
New York, NY jobs
Alloy is where you belong!
Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 700 of the world's largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers.
Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces, Forbes America's Best Startup Employers, Best Fintech to Work for by American Banker, year after year.
Check out our investors and read more about us here.
About the team
The Client Insights team focuses on helping clients get the most value out of their data. We rely on analytics and machine learning to help clients improve their policies, better detect fraud, and stay up to date with industry best practices. The Client Insights team is made up of datascientists and full stack engineers who are working to deliver customer-facing tools that leverage client data to enhance the agent experience and quicker detect fraud.
Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite twice a week, and remote employees onsite once a quarter.
What you'll be doing
At Alloy, we aim to help our clients protect themselves from the rapidly increasing and ever-changing threat of fraud, and our Client Insights team is part of the core foundation supporting that effort. With thousands of attributes coming from our portfolio of data partners tied to hundreds of millions of entities across our customer base, we have a massive trove of data assets at our disposal that we've only just begun to take advantage of. As a Senior DataScientist on the Client Insights team, you will be spearheading business-critical efforts.
Your responsibilities will be to:
Apply statistical and machine learning techniques to develop customer-facing models that directly influence fraud prevention outcomes.
Work closely with application engineers to operationalize models you've built, ensuring they meet rigors for customer usage, including model performance tracking and observability, and have mechanisms for retraining.
Take the initiative to innovate on our current models and apply new methodologies to new and existing problems and products.
Write clear, thoughtful documentation that makes data pipelines, modeling decisions, and trade-offs easy to understand and maintain.
Partner with engineering and product leads to provide guidance and leadership in roadmap planning.
Anticipate future support and maintenance overhead for the data-driven features and models you've built.
Leverage a deep, data-driven understanding of the key drivers and metrics underpinning Alloy's products and business lines to draw insights and make recommendations that will help the company grow and scale effectively.
Conduct bespoke analyses and research for new customer use cases that support future development of data science products.
Who we're looking for
You are:
Building with the end solution in mind.
Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work.
Able to build strong cross-functional relationships within Alloy.
Naturally curious with a knack for asking tough questions.
A team player. You believe that big things happen when the right people are working together.
Humble. Mistakes happen and owning them helps us learn and move on quickly
Product-oriented. You have a desire to understand Alloy's business, strategy and priorities to help guide future product development
You have:
6+ years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world, production models.
2+ years experience leading projects
Advanced proficiency in scripting languages like Python and querying languages like SQL
Experience with classification, clustering, regression, and time series models.
Experience working with unbalanced data sets
Experience building models from scratch, iterating, and owning projects end to end.
Nice to Haves:
Professional experience in fraud detection
Experience with AWS SageMaker
Experience using: Airflow, Spark, Dbt, Git, Hex, Looker
Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically!
This position has a salary range of $165,000 to $200,000.
Benefits and Perks
Unlimited PTO and flexible work policy
Employee stock options
Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
401k with 100% match up to 4% of annual employee compensation
Eligible new parents receive 16 weeks of paid parental leave
Home office stipend for new employees
Annual Learning & Development annual stipend
Well-being benefits include access to ClassPass, OneMedical, and Spring Health
Hybrid work environment: our employees local to NYC are expected to work Tuesdays and Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office.
We're a lean team, so your impact will be felt immediately. If this all sounds like a good fit for you, why not join us?
How to Apply
Apply right here. You've found the application!
Alloy is proud to be an equal opportunity workplace and employer. We're committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter.
All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you're ever unsure, please contact us directly via our website before sharing personal information.
$165k-200k yearly 2d ago
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Subcontractor Prequalification and Data Integration Coordinator
Stiles 4.1
Fort Lauderdale, FL jobs
About the Company
For over 70 years, Stiles has been a leader in commercial real estate across the Southeast. Headquartered in downtown Fort Lauderdale, we're a full-service firm with expertise in development, construction, architecture, realty, and property management - plus specialties in financing, acquisitions, and repositioning. With over 50 million square feet of projects delivered, our award-winning work has helped shape skylines and communities alike. Be part of a team that invests, builds, and manages with purpose.
About the Role
We are seeking a detail-oriented and proactive Subcontractor Prequalification & Data Integration Coordinator to manage the end-to-end process of subcontractor prequalification invitations, tracking and progressions supporting our Subcontractor Default Insurance (SDI) program. This role is also responsible for maintaining data integrity between our subcontractor invitation-to-bid software and internal databases, ensuring seamless communication and accurate records across platforms.
Key Responsibilities:
Subcontractor Prequalification Management:
Coordinate and send prequalification invitations to subcontractors participating in the SDI program.
Track responses and follow up with subcontractors to ensure timely completion.
Maintain accurate records of prequalification status and documentation.
Data Synchronization & Integration:
Ensure subcontractor data is consistently updated and synchronized between the SDI platform and invitation-to-bid software.
Monitor data flows and troubleshoot discrepancies between systems.
Collaborate with IT and software vendors to optimize integration processes.
Reporting & Compliance:
Generate regular reports on prequalification status, compliance metrics, and data integrity.
Support audits and internal reviews by providing accurate and timely documentation.
Ensure all processes align with company policies and insurance program requirements.
Gather information for bordereau reports and update with risk managers.
Stakeholder Communication:
Serve as a liaison between project teams, risk management, accounting and subcontractors regarding prequalification and data issues.
Provide training and support to internal users on software tools and workflows.
Qualifications:
Experience with subcontractor management, insurance programs, or construction operations preferred.
Familiarity with invitation-to-bid platforms (i.e., SmartBid) and database tools.
Strong organizational skills and attention to detail.
Excellent communication and problem-solving abilities.
Proficiency in Excel and data management systems.
Stiles is an Equal Opportunity Employer.
We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status in accordance with applicable federal, state, and local laws.
$37k-59k yearly est. 1d ago
Principal Data Scientist - Rentals Machine Learning Team
Zillow 4.5
Remote
About the team Zillow Group's mission is to give people the power to unlock life's next chapter. In pursuit of this mission, we are actively seeking a highly skilled and experienced Principal DataScientist to join our innovative Rentals Machine Learning team! We are passionately dedicated to rigorous research, deep analysis of complex datasets, and ultimately, the implementation of sophisticated model and data-driven solutions that are instrumental in powering a wide array of workflows and product experiences across Zillow's rapidly expanding Rentals business.About the role
In this high-impact role, you will work closely with cross-functional partners including machine learning engineers, product managers, datascientists, and engineers. In this collaborative environment, you will gain a deep and comprehensive understanding of our customer segments, diverse product offerings, and the varied mechanisms through which we monetize and deliver value to all of the users of the Zillow Rentals marketplace. You will design and implement testing and measurement techniques that improve understanding of the efficiency and effectiveness of not only our existing marketplace solutions, but also the effects of the many innovations we're making in the space. Your data-driven insights will guide critical decision making discussions with business leaders and be used to improve outcomes and satisfaction for our marketplace customers. This role offers an unparalleled opportunity to shape the future of the Rentals marketplace and business through cutting-edge data science.
More specifically, you will:
Work with cross-functional stakeholders to answer questions related to model-driven listing performance
Design and implement innovative measurement and communication techniques and tools that provide insight into our marketplace value-delivery mechanisms
Partner with Machine Learning Engineers to develop and refine marketplace management, valuation, and recommendation models
Lead discussions with business partners and leaders to create clarity, evaluate trade-offs, and drive decision making
Ensure data excellence of Machine Learning experimentation data pipelines and A/B testing framework integrations
Provide predictive insights into anticipated marketplace responses to changes in inventory prioritization methods
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $178,300.00 - $284,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $169,300.00 - $270,500.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are
You are a curious and passionate problem-solver who does not shy away from complexity or uncertainty! Come join us and use your expertise to help us find opportunities and guide our business into the future with powerful insights and recommendations.
We're searching for a DataScientist who has:
A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)
8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving
Experience modeling 2-sided marketplace dynamics (inventory optimization, advertising management, supply/demand prediction, etc.)
Strong understanding of statistical concepts, measurement methods, A/B testing, and causal inference techniques
Experience designing and analyzing tests in online marketplace settings
Mastery of SQL and Python, with experience with Tableau, Databricks, or other visualization software
Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans
Ability to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions
Get to know us
At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
$178.3k-284.7k yearly Auto-Apply 60d+ ago
Principal Data Scientist - Rentals Marketplace Ads Team
Zillow 4.5
Remote
About the team Zillow Group's mission is to give people the power to unlock life's next chapter. We're currently seeking a Principal DataScientist to join the Rentals Marketplace Ads team! On the Marketplace team, we're passionate about understanding Rentals Product performance through meticulous analysis and measurement. Our team works closely with Zillow's Leadership on the Rentals team to uncover opportunities through data to deliver on the Zillow promise to customers - revolutionary and intuitive tools to find your dream home.
The Rentals Marketplace Ads Team sits within the larger Marketplace Ads & Sales Analytics (MASA) team. This role will focus on Zillow's Rentals business and will work closely with product, strategy, engineering, sales, and marketing teams to deliver the data and insights necessary to grow the rentals marketplace. We work cross functionally with our data engineering and sales analytics counterparts who comprise the rest of MASA. Zillow Rentals has strong competitors in the space, but has been growing at an incredible rate for the last two years. As we continue to grow, the demands for higher quality and more targeted analysis will only increase. This role will be focused on supporting our multifamily products as well as digging into geo-specific market insights to enhance the overall partner and consumer experience for Zillow Rentals.About the role
As a principal datascientist you'll work closely with Zillow's Rentals data and product leadership teams to discover deep insights about the Zillow Rentals marketplace, while directly supporting product initiatives that affect our multifamily products. More specifically, this role will:
Analyze and interpret large, complex datasets to identify trends, patterns, and insights that support Zillow's burgeoning rentals ecosystem.
Collaborate with product stakeholders to define key metrics, goals, and objectives, and develop data-driven strategies to achieve them.
Utilize causal inference techniques and novel experimental designs to evaluate the launches of pilot programs.
Mentor and coach junior team members on executing analytic requests and help unblocking through code reviews & best practice sharing.
Work closely with cross-functional teams, such as product, marketing, engineering, and corporate strategy, to ensure relevant insights are surfaced for decision making.
Collaborate with data engineering teams to design and optimize data pipelines and workflows to support efficient data collection, storage, and processing.
Effectively communicate complex analytical findings to diverse stakeholders, translating technical concepts into actionable insights and recommendations.
Dive into Zillow's internal and third party data (think Databricks, Snowflake, Big Data) to develop solutions that will help move the business forward and enable better decisions at a rapid speed.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $178,300.00 - $284,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $169,300.00 - $270,500.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are
You are a curious and passionate problem-solver who will not shy away from complexity or uncertainty! Come join us and use your expertise to help us find opportunities and guide our business into the future with powerful insights and recommendations. We're searching for a DataScientist who has:
A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)
8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving
A strong understanding of statistical concepts, measurement methods, A/B testing, causal inference techniques, and time series analysis
Mastery of SQL, Excel, Python, along with some experience with Tableau, Databricks, or other visualization software.
Superb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plans
Able to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions
Keen understanding and experience with online products
Get to know us
At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
$178.3k-284.7k yearly Auto-Apply 38d ago
Mid-Level Data Scientist
Bristol Bay Native Corportation 4.1
San Antonio, TX jobs
SpecPro Sustainment & Environment (SSE) is seeking a highly skilled DataScientist to support the Air Force Civil Engineer Center's (AFCEC) Strategic Acquisition and Category Management program within AFCEC. The Air Force is advancing its acquisition strategy through innovation, data-driven methodologies and Category Management principals. The selected candidate will be a part of the SSE team providing advanced data analytics to deliver actionable insights and practical solutions to complex challenges.
This position will work on our highly collaborative and innovative team of datascientists, analysts, and developers to serve the Category Management team in its mission of eliminating redundancies, increasing efficiencies, and enhancing overall mission effectiveness across multiple lines of effort.
Responsibilities will include the following:
Development and delivery of comprehensive data defined documents focusing on Cost, Schedule and Performance metrics, trend analysis and indicators aligned with strategic plan initiatives.
Conduct in-depth data reviews and analyses across phased programs covering all areas of the Air Force Civil Engineer spectrum.
Support integration of multiple database tools including socialization of data tool capabilities, development of learning aids for tool implementation, development of dashboard exports to align with reporting cycles for senior leader briefings, incorporation of user feedback, collaboration for development and tracking of metrics for performance, and application of analytics to dashboard tools and integration.
Collaborate with Subject Matter Experts (SMEs) and customers to identify gaps, future requirements, and portfolio objectives, while highlighting meaningful metrics.
Perform management of large dataset APSR information compilation, reporting and application, possibly involving multiple projects and groups of personnel at multiple locations.
Provide sustained portfolio support around all Category Management initiatives, including deep analytics, metric driven evaluation, ad-hoc analysis and support any Congressional taskings.
Manage and maintain any models relating to the specific data sets supporting Category Management and ensuring applicability for annual updates.
Develop informative, professional graphs, charts, datasets, and comparative analysis.
Generate finished product reports and presentations for appropriate stakeholders.
Potential travel to various USAF installations to provide training and perform data quality analysis as a part of Asset Management team.
The ideal candidate will be a highly motivated self-starter with the ability to work independently while also contributing effectively in a team environment.
Basic Qualifications:
Bachelor's Degree, preferably in STEM field such as math, statistics, data science, engineering, IT, or computer science.
3+ years of related experience.
Proficient with Exploratory Data Analysis (EDA) and able to tell the story within the data to technical and non-technical professionals.
Experienced in Linear and Logistic Regression, Decision Trees, PCA, and Random Forest Modeling in Python or R coding languages.
Proficient in Microsoft Excel, Word, and PowerPoint. Experience working with databases preferred.
Work well in a team environment, able to independently develop professional deliverables and take direction well.
Strong written and verbal communication skills including the ability to develop graphs, charts, datasets, and comparative analysis.
Ability to adapt and develop innovative solutions.
Understanding of cross-functional span of control over various specialties and fields.
Preferred Qualifications:
Experienced in Air Force SMS Systems such as BUILDER, PAVER, GeoBase/GIS, etc.
Experience in data visualization with Tableau, Python, or similar software.
Understanding of SQL and database querying.
Experience with Air Force data base structures including APSR, ACES-RP, NexGenIT, and other data bases.
Experience in a customer service, contractor environment.
Air Force experience preferred.
A background in engineering, math, statistics, data analysis, information systems, planning, or investment.
An existing NAC-I clearance or ability to receive clearance.
Position may require Secret Clearance.
The position will support a mixed government - contractor environment in San Antonio, TX. While this position is considered a remote position, customer engagements are routine and often required for the team to have an on-site presence at Joint Base San Antonio - Kelly AFB. This position requires the ability to receive a NAC-I clearance.
$76k-113k yearly est. 16d ago
Lead Data Scientist
SSI 4.7
Michigan jobs
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Driven to revolutionize innovation, System Strategy, Inc. (SSI) helps clients conceptualize and design for the deep interdependencies inherent in today's cyber-physical systems. We balance the art and science of systems engineering to creatively and digitally transform design and development. We provide leading expertise in digital design, model based systems engineering (MBSE), analytics, and management consulting. System Strategy, Inc. (SSI) is a privately held professional services firm headquartered in Metro Detroit. Our engagements include small to large Fortune 500 businesses as well as the government.
POSITION OVERVIEW
The Lead DataScientist provides thought leadership in the application and use of data science techniques in the analysis and management of mission and business objectives associated with complex systems development. Candidates must provide strong leadership skills and the ability to collaborate and build trusting relationships with clients through delivery excellence. Contribute to team activities across life cycle systems management processes from stakeholder needs through validation. Analyzes mission and business metrics, systems, processes, and organizational architectures to improve development activities and outcomes. Research and implement best practices for integration into enterprise processes. Support executive decision making through visualization techniques and storyboards. Model complex systems and lead the evolution of digital ecosystems and overall digital transformation. Performs literature reviews and captures Subject Matter Expert (SME) knowledge in models using relevant modeling language(s) and tools. Facilitate shared human understanding and organizational learning through proficient communication, professional development, and delivery excellence.
INITIAL ENGAGEMENT RESPONSIBILITIES
Apply data science methods to improve executive decision-making and enterprise capability
Help propagate data-centric and model-based methods as a Data Science catalyst
Integrate captured knowledge, programmatic plans, and associated data into a common operating picture
Generate enterprise and product insights through viewpoint and dynamic visualization development
Collaborate closely with SSI and client team members in sharing best practices and intellectual property
Articulate complex concepts and methods clearly to peers and leaders
Generate reports, capability briefings, plans, and other required products
QUALIFICATIONS
Basic Qualifications/Requirements
15+ years of engineering and technical leadership
Bachelor's degree in a STEM discipline or data science-related field
Master's degree in a STEM discipline or data science-related field
US citizenship and ability to obtain and maintain a security clearance
Excellent analytical and synthetical problem-solving skills
Proficient written and oral communicator with proven ability to influence key outcomes
Exceptional computer skills and experience with modeling
Desired Qualifications
Experience with enterprise or product system modeling
Object Management Group (OMG) Certified Systems Modeling Professional (OCSMP)
INCOSE Systems Engineering Professional Certification (ASEP, CSEP or ESEP)
Previous use of data science tools and technologies such as Jupyter, Apache Spark, Graph Analytics, MATLAB, D3, Tableau, PowerBI et al.
HOW TO APPLY
Please send resumes and cover letters to:
Troy Peterson, Vice President System Strategy, Inc.
Selected applicants will be subject to a security investigation
$74k-106k yearly est. 60d+ ago
Sr. Data Scientist - Business Data Team
Zillow 4.5
Remote
About the team Zillow Group's Business Data organization represents the next step forward in the company's dedication to integrate an improved set of B2B agent software & advertising products for customers and partners, their clients, and the real estate industry as a whole.
Zillow has built and acquired a portfolio of market-leading products for agent productivity, listing media, showing coordination, transaction management and analytics solutions. Our wide array of products and services are built on technological innovations crafted to bring efficiencies to all users.About the role
The Business Data Science team within Zillow is hiring a DataScientist to lead analytics to uncover insights to drive both better business decisions and customer experiences across our product portfolio.
You Will Get To:
Collaborate with team members across product, engineering, marketing, sales, operations, and more to develop evidence-based approaches to finding gaps & optimizing the customer experience.
Use advanced analytics, including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.
Build compelling data stories and visualizations to inform and influence decision-makers.
Serve as a mentor and resource to other datascientists on the team.
Design and implement A/B tests, perform regression modeling, and provide recommendations for the product roadmap.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $148,600.00 - $237,400.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $141,200.00 - $225,600.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are
You are ready to bring your data and analytics expertise to transform what it means for the real estate industry to unlock the ability for consumers to dream, search, and find a home. You have an appreciation of the unique challenges posed by business to business product development and go-to-market.
Additionally, we expect you to have:
An undergraduate or Master's degree in a quantitative field (e.g. mathematics, engineering, statistics, finance, or similar)
5+ years of work experience involving quantitative data analysis and complex problem-solving. Experience working with product teams strongly preferred.
A strong understanding of statistical concepts, measurement issues, and inference techniques.
Proficiency in SQL, Excel, and either Python or R, along with some experience with Tableau, Mode, or other visualization software.
Extensive experience querying multi-terabyte-sized noisy data sets such as clickstream data.
Experience with ETL pipelines, scheduling and productionalizing is a plus.
Experience with A/B Testing, Experimentation, or Casual Inference
Strong written, verbal, and visual communication skills with the ability to work cross-functionally.
Get to know us
At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
$148.6k-237.4k yearly Auto-Apply 7d ago
Data Scientist II
Truist 4.5
Charlotte, NC jobs
**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**
Need Help? (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/Career\_site\_FAQ-17**********0.pdf)
_If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to_ Accessibility (careers@truist.com?subject=Accommodation%20request)
_(accommodation requests only; other inquiries won't receive a response)._
**Regular or Temporary:**
Regular
**Language Fluency:** English (Required)
**Work Shift:**
1st shift (United States of America)
**Please review the following job description:**
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
**ESSENTIAL DUTIES AND RESPONSIBILITIES**
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
**QUALIFICATIONS**
**Required Qualifications:**
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
**Preferred Qualifications:**
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
**OTHER JOB REQUIREMENTS / WORKING CONDITIONS**
**Sitting**
Constantly (More than 50% of the time)
**Visual / Audio / Speaking**
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
**Manual Dexterity / Keyboarding**
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
**Availability**
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
**Travel**
Minimal and up to 10%
**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site (*****************************
. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
**_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._**
EEO is the Law (**************************************************************************************************
E-Verify (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/E-Verify\_Participation\_Poster-17**********1.pdf)
IER Right to Work (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/IER\_RightToWorkPoster-17**********8.pdf)
$79k-108k yearly est. 7d ago
Data Scientist II
Truist Financial Corporation 4.5
Charlotte, NC jobs
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
$79k-108k yearly est. 7d ago
Principal Data & AI Scientist
Pemco Corporation 4.1
Seattle, WA jobs
Who We Are:
At PEMCO we're all about people - our customers, our employees, and the community. We're a mutual insurance company owned by our Northwest policyholders. We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America's Best Insurance Companies in both Auto and Home for 2025 based on customer survey feedback and by Newsweek as one of America's Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. All of which makes PEMCO a great place to work!
Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We're committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace. These efforts create and cultivate an environment that builds fairness and understanding, encourages collaboration and flexibility, and celebrates all the ways in which we're different and the same - enabling all individuals to achieve their full potential.
Why We Need You:
PEMCO has a dynamic and challenging opportunity for a Principal Data & AI Scientist to join our community. In this role, you will be responsible for designing, developing, and operationalizing advanced data science, machine learning, and AI solutions across core insurance domains such as underwriting, claims automation, pricing optimization, risk modeling, and customer lifecycle personalization.
What You'll Be Doing:
Lead development and deployment of AI models leveraging both supervised and unsupervised learning techniques.
Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven decision support.
Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement.
Develop data pipelines for ingestion, transformation, and storage to support AI/ML workloads.
Design and implement scalable solutions using cloud-based AI platforms such as Azure Machine Learning, Databricks and Snowflake.
Implement MLOps best practices, including CI/CD for model training, validation, deployment, and monitoring.
Develop generative AI models for personalized customer experiences and automation of complex decision-making processes.
Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources.
Optimize AI models for performance, scalability, and reliability in enterprise environments.
Conduct architecture design reviews and performance tuning for AI/ML applications
Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies.
Ensure compliance with ethical AI principles, model governance, and data privacy regulations.
Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct.
Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More.
Other duties as assigned.
Provide guidance, mentorship, knowledge sharing, and technical growth to team members.
What You'll Bring:
B.A. or B.S. degree or equivalent work experience in a related field, such as Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or Data Engineering.
Master's degree or Ph.D. in a related field, such as Artificial Intelligence, Data Science, or Machine Learning preferred.
10 years of enterprise-scale experience in designing, implementing, and deploying AI/ML models.
7 years of experience working with cloud-based AI platforms, including Azure Machine Learning, Databricks, and Snowflake.
7 years of experience in implementing both supervised and unsupervised learning techniques in real-world applications.
Experience in the insurance industry, particularly in Auto, Home, and Umbrella insurance processes, underwriting, claims analysis, and risk assessment is required.
Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred.
Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs.
Strong problem-solving skills and a deep understanding of statistical and mathematical principles.
Strong experience in natural language processing (NLP) and generative AI applications.
Expertise in MLOps, model lifecycle management, and AI model deployment at scale.
Proficient in Python, PySpark, and SQL.
Deep understanding of Azure Databricks, Delta Lake, Unity Catalog, Azure Synapse Analytics, and Azure Data Factory.
Experience with distributed model training and serving on Databricks
Familiarity with Azure OpenAI, LLM fine-tuning, or cognitive services is preferred.
Expertise in both supervised and unsupervised learning techniques and the ability to implement AI/ML solutions that enhance data-driven decision-making in the insurance industry, particularly in Auto, Home, and Umbrella insurance.
Familiarity with agile software delivery methodologies such as Scrum.
What We Value:
In fostering a culture where everyone thrives, PEMCO embodies a set of core traits that guide our collective efforts. These traits include:
Make Agile Decisions: Define desired outcomes. Use a consistent, inclusive approach. Drive decisions with a sense of urgency. Pivot decisions quickly as supported by data.
Build Trust: Listen to understand and use direct and open communication. Engage in healthy debate with mutual respect. Find solutions and move forward together.
Own Results: Commit to desired outcomes. Define and achieve success metrics. Anticipate and mitigate risks, and always have a plan B. Take accountability for and learn from outcomes.
Empower Execution: Take action to drive desired outcomes. Act with initiative, mastery, and purpose.
Explore Fearlessly: Make swift, iterative progress through testing and learning, create a safe place to fail fast and learn from mistakes, and continuously improve.
Value People: Appreciate and care about unique experiences and perspectives Respect the dignity of others and have empathy for people Authentically and meaningfully support and recognize people in real time.
These traits form the bedrock of our commitment to caring deeply for each other, our customers, and our community. As you become a part of PEMCO, your contribution will further enrich our success story, where the power of these shared values propels us forward.
Compensation:
The pay range for this role is shown below. Compensation decisions are determined based on an individual's qualifications, job-related knowledge, skills, and experience.
Greater Seattle area target pay range: $187,363 - $228,999. The full pay range is $156,136 - $260,226
Outside greater Seattle area target pay range: $165,352 - $202,096. The full pay range is $137,793 - $229,655.
Greater Seattle Area is defined as working within approximately 100 miles of Seattle.
Outside Greater Seattle is defined as working approximately 100 miles or more from Seattle.
Benefits:
Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. In addition, as a benefits-eligible employee, you are:
covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages.
eligible to participate in PEMCO's 401(k) plan which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums).
PEMCO provides the following paid leave programs for benefits-eligible employees in their first year of PEMCO employment:
Vacation accrues at a rate of 10 days for new hires, and increases based on a schedule to a maximum annual accrual of 25 days based on tenure.
Granted four (4) personal days immediately upon hire.
Paid holidays for the eight (8) holidays observed by PEMCO throughout the calendar year.
Granted up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status), which is approximately 28 hours more per year than the Washington state-required accrual.
In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community.
Other miscellaneous benefit programs offered by PEMCO include:
Flexible Spending Accounts.
Education Assistance Program after one year of service.
Scholarship program for children of PEMCO employees after one year of service.
Employee Assistance Program.
Well-being program.
Discretionary taxable gifts and gift cards.
And other Perks & Benefits including discounts on computer software and hardware, cell phone plans, and rental cars.
Other compensation depending on role, contributions, and performance may include:
Discretionary bonuses.
Tiered sales commissions and/or incentives (from 5-25% of employee's monthly sales).
Employee referral bonuses.
Shift differential pay.
Equal Employment Opportunity:
At PEMCO, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. PEMCO is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status.
Applicants have rights under Federal Employment Laws:
Family and Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
$187.4k-229k yearly Auto-Apply 60d+ ago
Data Scientist II
Truist 4.5
Orlando, FL jobs
**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**
Need Help? (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/Career\_site\_FAQ-17**********0.pdf)
_If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to_ Accessibility (careers@truist.com?subject=Accommodation%20request)
_(accommodation requests only; other inquiries won't receive a response)._
**Regular or Temporary:**
Regular
**Language Fluency:** English (Required)
**Work Shift:**
1st shift (United States of America)
**Please review the following job description:**
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
**ESSENTIAL DUTIES AND RESPONSIBILITIES**
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
**QUALIFICATIONS**
**Required Qualifications:**
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
**Preferred Qualifications:**
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
**OTHER JOB REQUIREMENTS / WORKING CONDITIONS**
**Sitting**
Constantly (More than 50% of the time)
**Visual / Audio / Speaking**
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
**Manual Dexterity / Keyboarding**
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
**Availability**
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
**Travel**
Minimal and up to 10%
**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site (*****************************
. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
**_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._**
EEO is the Law (**************************************************************************************************
E-Verify (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/E-Verify\_Participation\_Poster-17**********1.pdf)
IER Right to Work (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/IER\_RightToWorkPoster-17**********8.pdf)
$73k-101k yearly est. 7d ago
Data Scientist II
Truist Financial Corporation 4.5
Orlando, FL jobs
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
$73k-101k yearly est. 7d ago
Data Scientist II
Truist Bank 4.5
Atlanta, GA jobs
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to
Accessibility
(accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America) Please review the following :Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
Additional Job Description:
1. Experience with bankcard fraud strategy preferred
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
$78k-106k yearly est. Auto-Apply 23d ago
Data Scientist
Everest Consulting Group 3.8
Boston, MA jobs
Title: DataScientist (Subject Matter Expert)- 2935
Customer : Liberty Mutual
Location: Boston, MA starting with 2 days working from Office and likely to get extended for all 5 days.
Job Type: Contract
Duration : 6 months subject to extension.
Local candidates only.
Please look for 14 years' experience on Data Science.
Mandatory Requirements :
Financial Time Series is a must and should have extensively worked in it
Knowledge of linear / Non -linear / Distributed financial data
Knowledge of Transformer model outside of language models
Deep understanding of markets & GDP and Economic releases and its impact on the financial markets
On the run / Off the run Bonds & Fixed Income knowledge
Deep knowledge of building models for the business financial teams to make their business decision
Minimum 5 -7 years of hands -on Financial/Investment / Asset Management / Fixed Income experience
Avoid submitting Data Analysts and worked in a project in Finance Domain. This is a Senior Role and hence people would have strong Data Science experience with Invest Domain.
Job Description
Role:
DataScientist
Employment Type:
Contract
Work location:
Boston Location in USA - Currently 2 days from site and likely to get extended for all days.
Work mode :
Remote
About the Role
About the Role:
We are seeking an experienced and highly skilled DataScientist to lead the development and implementation of advanced data modeling and predictive analytics to support investment strategies.
The ideal candidate should have extensive experience in data science designing and deploying statistical modelling with at least 6 years of hands -on experience in Financial/Investment / Asset Management / Fixed Income.
Job Responsibilities
•Utilize data analytics and advanced statistical techniques to inform investment decision -making and drive business growth.
•Collaborate with cross -functional teams to identify opportunities for leveraging data to enhance investment strategies.
•Develop and maintain a robust data infrastructure to support data -driven decision -making.
•Stay updated on industry trends and best practices in data science and investments, and implement new techniques and tools as needed.
•Lead the development and implementation of advanced data modeling and predictive analytics to support investment strategies.
•Provide strategic guidance and recommendations to senior leadership on investment opportunities and risks based on data analysis.
•Oversee the creation and maintenance of data dashboards and reports to track investment performance and identify areas for improvement.
•Collaborate with other departments to ensure alignment and integration of data -driven strategies across the organization.
Mandatory Skills
•Primary Skills : Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets, Investment Banking.
•Secondary Skills : Has experience in Gen AI , Language Model etc.
Mandatory Requirements :
Financial Time Series is a must and should have extensively worked in it
Knowledge of linear / Non -linear / Distributed financial data
Knowledge of Transformer model outside of language models
Deep understanding of markets & GDP and Economic releases and its impact on the financial markets
On the run / Off the run Bonds & Fixed Income knowledge
Deep knowledge of building models for the business financial teams to make their business decision
Required Education
· Bachelor's degree in computer science or a related field.
· Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study)
· Proficiency in the mathematics underlying Machine Learning
· Ability to present complex technical information in a clear and concise manner to a variety of audiences.
Required Experience
· Minimum 14+ years of experience in data science designing and deploying statistical modelling with at least 6 years of hands -on experience in Financial/Investment / Asset Management / Fixed Income.
· Has experience with data science, statistical modeling and time series analysis of financial markets data, Fixed Income Assets and/or Investment Banking.
· Has experience in Gen AI , Language Model etc.
· Worked for asset management firms in roles aligned to the front office.
· Has advanced knowledge of python and/or R
· Asset Allocation, Research, quat engineering
· Broad experience with hands -on modelling and DS lifecycle activities, particularly in Python, and ability to communicate at a high level with DS and non -technical leaders
· Knowledge of graphical packages such as plotly or gg plot
· Excellent understanding of Statistical modeling, Machine Learning (Supervised, Unsupervised, Recommendation engines, Optimization etc.) Deep Learning (RNN, CNN, LSTM, Auto encoders, GANS etc.), Natural Language Processing techniques and algorithms
· Strong coding experience in Python, Pyspark, Keras/tensorflow
· Experience with SQL & at least one NoSQL databases
· Experience of working on any of cloud platform (AWS, Azure, IBM etc.)
· Work closely with data engineers to source, analyze and engineer features, collaborate with fellow datascientists to develop, test and deploy Machine Learning models
· Exposure to creation of data pipelines to engineer apps deployment (CI/CD) across platforms and environments and working with ML pipelines
· Demonstrate analytical and problem -solving skills, particularly those that apply to the big data environment
Travel Requirement (%)
· NA
Thanks and Best Regards,
Devi Skanda
Everest Consulting Group Inc.
3840 Park Ave, Edison, NJ 08820
Direct: ************ EXT 8600
Desk : ************* Ext: 8600
********************************
linkedin.com/in/devi -skanda -89165322b
$85k-124k yearly est. Easy Apply 60d+ ago
Data Scientist Lead
Progress Residential 4.1
Tempe, AZ jobs
Your career has a home here.
Ready to make an impact with a dynamic, forward-thinking company?
As a leading property manager of single-family rental homes nationwide, we take great pride in creating an enjoyable living experience for our residents - and an empowering, people-first culture for our team members. That's why, for two years in a row, our employees have voted Progress a certified Great Place to Work .
Why join Progress?
As the demand for professionally managed rental homes continues to grow, so do the opportunities at Progress. We're looking for passionate professionals who are ready to grow with us, make a difference and be part of something meaningful.
Want to learn more?
Text “ProgressJobs” to 25000 to chat with Kate, our AI Recruiting Assistant. She can help you explore open roles, apply, and answer your questions in real time.
Position Summary:
As a member of the Analytics team, the DataScientist Lead will be focused on improving the single-family rental (SFR) customer experience, increasing occupancy rates, and reducing costs on home repairs and renovations. This is a high visibility role with exposure to multiple functions within the organization. Day to day partnerships include working with his/her team and cross-functionally at the senior leadership level to understand Progress's business challenges and recommend data-driven solutions.
The right candidate is naturally curious, has excellent quantitative modeling and creative problem-solving skills, an ability to partner with stakeholders to drive results, and likes working in a fast paced environment. Additionally, this person must have demonstrated the ability to execute projects end to end with minimal supervision and be able to create a compelling case for change in PowerPoint, articulating technical concepts to non-technical stakeholders at all levels including the C-suite.
ESSENTIAL FUNCTIONS:
Manages Projects Independently
Establish a professional and trusting relationship with stakeholders (Director and VP level)
Lead and complete projects once given the objective and direction. Hold intake sessions, size projects, design solutions, manage scope and recalibrate work priorities as needed
Communicate regularly and effectively on project status, clarity of deliverables, and requirements
Mentor junior members of the team on projects - structure, solution builds, organizing data, etc.
Use a variety of techniques to analyze large data sets ranging from unsupervised machine learning (ex: XGBoost, CatBoost, Random Forest) to research-driven root cause. These tools will be used to highlight opportunities with Progress's key business drivers. For example, likelihood to renew, collectability scoring, predicted costs for renovations, building decision trees to support operating efficiencies for home repairs
Segment data using techniques such as Clustering (ex: k-means, KNN) and Decision Trees
Develop predictive models for these segments; conduct quantitative research and back-testing to evaluate model assumptions and develop confidence in results
Develop new analytical approaches to problem-solving at Progress, driving improvements in the quality, efficiency & rigor of insights delivered to the business; use findings to guide change
Gather and aggregate data from multiple internal and external sources. Reconcile data with known sources of truth.
Uncover patterns, identify root causes, and accurately interpret operational and financial impact
Create compelling stories with data in PowerPoint; present findings to a broad group of cross-functional leaders (all levels including C-suite), using data to drive and influence management decisions
Develop and implement process controls to mitigate business risk and to improve operating efficiency; measure performance of implemented solutions over time
REQUIRED QUALIFICATIONS:
Bachelor's Degree required in a mathematics-based discipline such as engineering, math, statistics, economics or similar discipline; Master's degree preferred
10+ years of relevant data science, analytics, predictive analytics or advanced risk modeling with large-scale data and project management experience
3+ years of hands-on Python experience coding machine learning models (XGBoost, Random Forest, Catboost, etc.), time series (ARIMA, VC, etc.), regression and/or segmentation analyses on large data sets
3+ years of hands-on SQL experience, specifically to write complex, highly optimized queries across large volumes of structured and unstructured data in preparation for analyses; experience with Snowflake a plus
Experience presenting to an executive audience, building insightful presentations that use data to create compelling cases for change
Can quickly extract insights from various forms of data and succinctly guide the business on how to use them
Expert in statistics including probability theory and sampling, predictive modeling, test vs. control, and the application of these methods to solve real-world problems
Demonstrated ability to successfully build rapport with stakeholders that do not have analytical expertise, translating complex mathematical concepts into easy-to-understand terms
Ability to prioritize, multitask, manage multiple complex projects simultaneously, and deliver results within compressed timelines
A strategic and tactical thinker; strong vision and ability to think outside the box, provide innovative solutions to core business practices, execute, and implement
Self-starter, very resourceful, a quick learner with a high degree of agency, integrity and ownership
Ability to work at a fast pace, both independently and as a team, without sacrificing attention to detail
Must be comfortable hunting for, aggregating, cleaning, and validating data from multiple sources
Master's degree in quantitative discipline such as engineering, math, statistics, economics or similar discipline preferred.
Experience in portfolio/risk management and/or quantitative analysis of capital assets
Experience with bureau data
Direct knowledge or experience with advanced loan or credit scoring and predictive modeling
Experience working as a datascientist (or equivalent role/function) in a regulated industry such as financial services, healthcare, real estate, etc., where predictive models must undergo stress testing and scrutiny by a 3rd party auditor and abide by SR 11-7 guidelines
Experience with the AWS computing environments and storage services such as s3
What you can expect from us:
Competitive Compensation - Including performance-based bonuses that reward your contributions.
Comprehensive Benefits Package - Medical, dental, vision, parental leave, 401(k) with company match and more.
Generous Time Off - Enjoy PTO based on tenure, 13 paid holidays and 1 floating holiday.
Ongoing Learning and Development - Quarterly summits, town hall meetings and continuous training to support your professional growth.
A Culture that Celebrates You - We believe in collaboration, recognition and having fun while doing important work.
This summary is not an all-inclusive description of job duties. Other job duties and responsibilities may also be assigned by the incumbent's supervisor at any time based upon Company need.
Employment with Progress Residential is conditional on a satisfactory background and drug screen.
Progress Residential is a proud Equal Opportunity employer, m/f/d/v.
Privacy Policy
$87k-128k yearly est. Auto-Apply 16d ago
Data Scientist II
Truist 4.5
Wilson, NC jobs
**The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.**
Need Help? (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/Career\_site\_FAQ-17**********0.pdf)
_If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to_ Accessibility (careers@truist.com?subject=Accommodation%20request)
_(accommodation requests only; other inquiries won't receive a response)._
**Regular or Temporary:**
Regular
**Language Fluency:** English (Required)
**Work Shift:**
1st shift (United States of America)
**Please review the following job description:**
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
**ESSENTIAL DUTIES AND RESPONSIBILITIES**
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
**QUALIFICATIONS**
**Required Qualifications:**
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
**Preferred Qualifications:**
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
**OTHER JOB REQUIREMENTS / WORKING CONDITIONS**
**Sitting**
Constantly (More than 50% of the time)
**Visual / Audio / Speaking**
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
**Manual Dexterity / Keyboarding**
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
**Availability**
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
**Travel**
Minimal and up to 10%
**General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:** All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site (*****************************
. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
**_Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace._**
EEO is the Law (**************************************************************************************************
E-Verify (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/E-Verify\_Participation\_Poster-17**********1.pdf)
IER Right to Work (https://pp-cdn.phenompeople.com/CareerConnectResources/prod/TBJTBFUS/documents/IER\_RightToWorkPoster-17**********8.pdf)
$80k-111k yearly est. 7d ago
Data Scientist II
Truist Financial Corporation 4.5
Wilson, NC jobs
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
$80k-111k yearly est. 7d ago
Senior Actuary
Pemco Corporation 4.1
Seattle, WA jobs
Who We Are:
At PEMCO we're all about people - our customers, our employees, and the community. We're a mutual insurance company owned by our Northwest policyholders. We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America's Best Insurance Companies in both Auto and Home for 2025 based on customer survey feedback and by Newsweek as one of America's Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. All of which makes PEMCO a great place to work!
Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We're committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace. These efforts create and cultivate an environment that builds fairness and understanding, encourages collaboration and flexibility, and celebrates all the ways in which we're different and the same - enabling all individuals to achieve their full potential.
Why We Need You:
Join our dynamic Product Development team as a Senior Actuary, where you will play a key role in driving profitability assessments, process improvements, and strategic decision-making. In this role, you will take the lead in shaping financial strategies and optimizing insurance products to adapt to evolving market demands. Your advanced analytical expertise will be critical in leveraging data-driven insights to enhance decision-making processes and drive sustainable growth. This position is ideal for experienced actuaries seeking to apply their expertise across multiple actuarial domains, including pricing, reserving, and modeling, while mentoring junior team members and contributing to high-impact initiatives in a collaborative environment.
What You'll Be Doing:
Lead internal loss reserving to track and analyze trends, ensuring financial stability and accurate forecasting.
Employ advanced actuarial techniques for in-depth pricing analysis, refining both overall rate level and rating variable determinations. Drive innovative indication methodologies and lead process automation to enhance efficiency and accuracy.
Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to drive insights and decision-making, under the guidance of actuarial management and the product manager.
Participate with business partners in making product decisions and analyze the associated impacts, leveraging expert actuarial insights to inform key financial outcomes.
Oversee the preparation and review of regulatory filings, ensuring they align with company objectives and meet compliance standards.
Provide expert insight on the company's annual forecast and inform business partners of emerging trends and potential risks.
Proactively investigate and assess issues and trends in actuarial science.
Mentor junior team members and contribute to high-impact initiatives in a collaborative environment.
Act as consultant when advanced skills in mathematics, statistics, and modeling are required.
Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct.
Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More.
Other duties as assigned.
What You'll Bring:
B.A. or B.S. degree or equivalent work experience (Mathematics or equivalent) is required.
8 years of experience in property casualty actuary work with a wide range of experience with a focus on rate-making and a broad knowledge of personal lines is required.
Strong technical aptitude and programming experience
Fellow of the Casualty Actuarial Society (FCAS) is required.
Precision: Is detail orientated and has a strong desire for accuracy and thoroughness is required
Problem Solver: Ability to analyze, diagnose and resolve complex unstructured problems quickly, efficiently, and collaboratively is required.
MS Office: Skilled proficiency in MS Office is required. Expert in Excel.
Job specific: Knowledge of Mathematics, Statistics and Modeling as well as strong software application and predictive modeling skills is required.
Job specific: Skilled proficiency with Python, R, SAS and/or SQL is required. Experience with Radar, Emblem, or ResQ is considered advantageous.
Highly Analytical: Is passionate about working with disparate datasets bringing data together to answer business questions. Collaborates to create, manage, and translate data to meaningful insights. Can work with external vendors to integrate data for analysis; knows how to build efficient and scalable infrastructure and data models is required.
Business Environment: Has a thorough understanding of our industry, the relevant business landscape, trends in growth and insurance environments; the ability to spot early indicators of change and apply strategies to adapt quickly is required.
What We Value:
In fostering a culture where everyone thrives, PEMCO embodies a set of core traits that guide our collective efforts. These traits include:
Make Agile Decisions: Define desired outcomes. Use a consistent, inclusive approach. Drive decisions with a sense of urgency. Pivot decisions quickly as supported by data.
Build Trust: Listen to understand and use direct and open communication. Engage in healthy debate with mutual respect. Find solutions and move forward together.
Own Results: Commit to desired outcomes. Define and achieve success metrics. Anticipate and mitigate risks, and always have a plan B. Take accountability for and learn from outcomes.
Empower Execution: Take action to drive desired outcomes. Act with initiative, mastery, and purpose.
Explore Fearlessly: Make swift, iterative progress through testing and learning, create a safe place to fail fast and learn from mistakes, and continuously improve.
Value People: Appreciate and care about unique experiences and perspectives Respect the dignity of others and have empathy for people Authentically and meaningfully support and recognize people in real time.
These traits form the bedrock of our commitment to caring deeply for each other, our customers, and our community. As you become a part of PEMCO, your contribution will further enrich our success story, where the power of these shared values propels us forward.
Compensation:
The pay range for this role is shown below. Compensation decisions are determined based on an individual's qualifications, job-related knowledge, skills, and experience.
Greater Seattle area target pay range: $170,330-$208,181. The full pay range is $141,941-$236,569 .
Outside greater Seattle area target pay range: $150,319-$183,723. The full pay range is $125,266-$208,777.
Greater Seattle Area is defined as working within approximately 100 miles of Seattle.
Outside Greater Seattle is defined as working approximately 100 miles or more from Seattle.
Benefits:
Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. In addition, as a benefits-eligible employee, you are:
covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages.
eligible to participate in PEMCO's 401(k) plan which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums).
PEMCO provides the following paid leave programs for benefits-eligible employees in their first year of PEMCO employment:
Vacation accrues at a rate of 10 days for new hires, and increases based on a schedule to a maximum annual accrual of 25 days based on tenure.
Granted four (4) personal days immediately upon hire.
Paid holidays for the eight (8) holidays observed by PEMCO throughout the calendar year.
Granted up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status), which is approximately 28 hours more per year than the Washington state-required accrual.
In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community.
Other miscellaneous benefit programs offered by PEMCO include:
Flexible Spending Accounts.
Education Assistance Program after one year of service.
Scholarship program for children of PEMCO employees after one year of service.
Employee Assistance Program.
Well-being program.
Discretionary taxable gifts and gift cards.
And other Perks & Benefits including discounts on computer software and hardware, cell phone plans, and rental cars.
Other compensation depending on role, contributions, and performance may include:
Discretionary bonuses.
Tiered sales commissions and/or incentives (from 5-25% of employee's monthly sales).
Employee referral bonuses.
Shift differential pay.
Equal Employment Opportunity:
At PEMCO, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. PEMCO is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status.
Applicants have rights under Federal Employment Laws:
Family and Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
$170.3k-208.2k yearly Auto-Apply 60d+ ago
Actuary
Pemco Corporation 4.1
Seattle, WA jobs
Who We Are:
At PEMCO we're all about people - our customers, our employees, and the community. We're a mutual insurance company owned by our Northwest policyholders. We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America's Best Insurance Companies in both Auto and Home for 2025 based on customer survey feedback and by Newsweek as one of America's Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. All of which makes PEMCO a great place to work!
Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We're committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace. These efforts create and cultivate an environment that builds fairness and understanding, encourages collaboration and flexibility, and celebrates all the ways in which we're different and the same - enabling all individuals to achieve their full potential.
Why We Need You:
PEMCO has a dynamic and challenging opportunity for an Actuary to join our community. Join our dynamic Product Development team and play an important role in driving our profitability assessments and process improvements. In this role, you will contribute to shaping our financial strategies and optimizing our insurance products to adapt to changing market demands. Your analytical skills will be instrumental in leveraging data-driven insights to refine decision-making processes and promote sustainable growth. This position is ideal for actuaries who are eager to learn and excel in various actuarial domains, including pricing, reserving, and modeling, and are looking for new challenges in a collaborative environment.
What You'll Be Doing:
Conduct internal loss reserving to track and analyze trends, ensuring financial stability and accurate forecasting.
Employ advanced actuarial techniques for detailed pricing analysis, enhancing both overall rate level and rating variable determinations. Innovate indication methodologies and streamline process automation.
Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to drive insights and decision-making, under the guidance of actuarial management and the product manager.
Participate with business partners in making product decisions and analyze the associated impacts.
Prepare regulatory filings, ensuring they align with company objectives and meet compliance standards.
Provide the feedback on the company's annual forecast and inform business partners of emerging trends and potential risks.
Proactively investigate and assess issues and trends in actuarial science.
Act as consultant when advanced skills in mathematics, statistics, and modeling are required.
Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct.
Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More.
Other duties as assigned.
What You'll Bring:
B.A. or B.S. degree or equivalent work experience (Mathematics or equivalent) is required.
5 years of experience in property casualty actuary work with a wide range of experience with a focus on rate-making and a broad knowledge of personal lines is required.
Strong technical aptitude and programming experience
Associate of the Casualty Actuarial Society (ACAS) is required.
Precision: Is detail orientated and has a strong desire for accuracy and thoroughness is required
Problem Solver: Ability to analyze, diagnose and resolve complex unstructured problems quickly, efficiently, and collaboratively is required.
MS Office: Skilled proficiency in MS Office is required. Expert in Excel.
Job specific: Knowledge of Mathematics, Statistics and Modeling as well as strong software application and predictive modeling skills is required.
Job specific: Skilled proficiency with Python, R, SAS and/or SQL is required. Experience with Radar, Emblem, or ResQ is considered advantageous.
Highly Analytical: Is passionate about working with disparate datasets bringing data together to answer business questions. Collaborates to create, manage, and translate data to meaningful insights. Can work with external vendors to integrate data for analysis; knows how to build efficient and scalable infrastructure and data models is required.
Business Environment: Has a thorough understanding of our industry, the relevant business landscape, trends in growth and insurance environments; the ability to spot early indicators of change and apply strategies to adapt quickly is required.
What We Value:
In fostering a culture where everyone thrives, PEMCO embodies a set of core traits that guide our collective efforts. These traits include:
Make Agile Decisions: Define desired outcomes. Use a consistent, inclusive approach. Drive decisions with a sense of urgency. Pivot decisions quickly as supported by data.
Build Trust: Listen to understand and use direct and open communication. Engage in healthy debate with mutual respect. Find solutions and move forward together.
Own Results: Commit to desired outcomes. Define and achieve success metrics. Anticipate and mitigate risks, and always have a plan B. Take accountability for and learn from outcomes.
Empower Execution: Take action to drive desired outcomes. Act with initiative, mastery, and purpose.
Explore Fearlessly: Make swift, iterative progress through testing and learning, create a safe place to fail fast and learn from mistakes, and continuously improve.
Value People: Appreciate and care about unique experiences and perspectives Respect the dignity of others and have empathy for people Authentically and meaningfully support and recognize people in real time.
These traits form the bedrock of our commitment to caring deeply for each other, our customers, and our community. As you become a part of PEMCO, your contribution will further enrich our success story, where the power of these shared values propels us forward.
Compensation:
The pay range for this role is shown below. Compensation decisions are determined based on an individual's qualifications, job-related knowledge, skills, and experience.
Greater Seattle area target pay range: $154,845-$189,255. The full pay range is $129,038-$215,063.
Outside greater Seattle area target pay range: $136,654-$167,022. The full pay range is $113,879-$189,797.
Greater Seattle Area is defined as working within approximately 100 miles of Seattle.
Outside Greater Seattle is defined as working approximately 100 miles or more from Seattle.
Benefits:
Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. In addition, as a benefits-eligible employee, you are:
covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages.
eligible to participate in PEMCO's 401(k) plan which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums).
PEMCO provides the following paid leave programs for benefits-eligible employees in their first year of PEMCO employment:
Vacation accrues at a rate of 10 days for new hires, and increases based on a schedule to a maximum annual accrual of 25 days based on tenure.
Granted four (4) personal days immediately upon hire.
Paid holidays for the eight (8) holidays observed by PEMCO throughout the calendar year.
Granted up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status), which is approximately 28 hours more per year than the Washington state-required accrual.
In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community.
Other miscellaneous benefit programs offered by PEMCO include:
Flexible Spending Accounts
Education Assistance Program after one year of service
Scholarship program for children of PEMCO employees after one year of service
Employee Assistance Program
Well-being program
Discretionary taxable gifts and gift cards
And other Perks & Benefits including discounts on computer software and hardware, cell phone plans, and rental cars
Other compensation depending on role, contributions, and performance may include:
Discretionary bonuses
Tiered sales commissions and/or incentives (from 5-25% of employee's monthly sales)
Employee referral bonuses
Shift differential pay
Equal Employment Opportunity:
At PEMCO, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. PEMCO is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status.
Applicants have rights under Federal Employment Laws:
Family and Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
$154.8k-189.3k yearly Auto-Apply 60d+ ago
Intern - Data Science, Contract Operations
Berkshire Hathaway Energy 4.8
Des Moines, IA jobs
MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation. MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation. MidAmerican Energy Company has an exciting Internship opportunity available! Take the next step in your career and apply now!
Skills for Success
* Effective oral and written communication skills.
* Effective analytical and problem-solving skills.
* Effective interpersonal skills and customer relationship skills.
* Taken coursework in data analytics, machine learning, statistics, or computational mathematics preferred.
Qualifications
* Must be a college student, junior or higher standing, currently enrolled in a bachelor's degree or higher program in data science, computer science, economics, statistics, business analytics, or related field of study.
* Must be available through the 2025 - 2026 academic school year.
* Working knowledge of Microsoft Office and the Windows operating environment.
Primary Job Duties and Responsibilities
* Identify partner teams' key issues, prototype solutions, and help solve business problems using data and technology.
* Effectively communicate and present advanced analytics model results and project outcomes.
* Respond to and improve from feedback from internal business groups and team members. Strive for continuous improvement and personal growth.
* Use Microsoft Teams, Microsoft Office, and Azure DevOps for team collaboration, meetings, project organization, and planning.
* Perform any additional responsibilities as requested or assigned.
Performance Expectations
* Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
* Establish and maintain effective work relationships within the department and the company.
* Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
* Maintain sensitive and confidential company information.
* Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
* Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.