Data Scientist jobs at Grandbridge Real Estate Capital

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 Data Scientist 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, data scientists, 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 Data Scientist 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.

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 Data Scientist 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 data scientist 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 Data Scientist 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.

**************** 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 Data Scientist 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

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 Data Scientist 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 data scientists 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.

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: $165,369-$202,117. The full pay range is $137,807-$229,679. Outside greater Seattle area target pay range: $145,941-$178,373. The full pay range is $121,617-$202,696. 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)

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 Data Scientist 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 data scientist (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, 10 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.

Benefits: * Competitive compensation * Medical, dental, and vision insurance * 401(k) retirement savings plan with substantial company match * Life and travel insurance * Tuition assistance * Wellness reimbursement program * Paid holidays and vacation What is a Data Scientist? As a Data Scientist at Central Hudson Gas & Electric-a regulated electric and gas utility serving New York's Mid-Hudson River Valley-you will gain valuable, hands-on experience applying fundamental data science methods to inform key business decisions. All Data Scientist roles at Central Hudson have a broad impact, supporting critical functions across the organization-from operational optimization to strategic planning-ultimately helping deliver reliable services that benefit our customers, employees, and overall performance. What does a Data Scientist do? * Collects, cleans, and organizes data from various internal and external sources * Conducts exploratory data analyses to identify trends, correlations, and insights * Develops, tests, and refines predictive models for operational outcomes * Creates data visualizations and dashboards to communicate results and recommendations * Participates in cross-functional projects to support business objectives * Documents findings, methods, and best practices for ongoing knowledge sharing * Collaborates with cross-functional teams to define project objectives and analytical requirements * Contributes to process improvements and data-driven strategies within the organization * Provides support for storm restoration efforts What does it take to be a Data Scientist? Required: * Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related field and experience working in data science or a closely related discipline * Proficiency with programming languages (e.g., Python, R) and data manipulation tools * Demonstrated understanding of statistical techniques or machine learning concepts * Strong communication and teamwork skills * Strong analytical and problem-solving skills, with the ability to explain technical concepts to non-technical stakeholders * Valid driver's license Preferred: * Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering or a related field * 3+ years of professional experience in data science or a closely related discipline * Experience in the utility and/or energy industry * In depth knowledge of machine learning techniques and modeling approaches * Experience with big data technologies, cloud platforms, or distributed computing frameworks * Experience with Asset/ Equipment Management modeling This position has a career path which allows for advancement opportunities within a job series. The title and level are commensurate with experience. Pay range: $71,900 - $168,700 Please go to ********************************** Click the "Search Career Opportunities" button. Follow the directions to submit an application and upload your resume for the desired position. Applications sent via e-mail and US Mail will not be accepted. No phone calls or agencies, please. All replies will be held in strict confidence. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, ethnicity, arrest or conviction record, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, citizenship, genetic information, familial status, marital status, pregnancy-related condition, domestic violence victim status, veteran or military status, or any other characteristic protected by federal, state or local laws. Central Hudson Gas & Electric Corporation takes affirmative action in support of its policy to employ and advance employment in individuals who are protected veterans and individuals with disabilities. VEVRAA FEDERAL CONTRACTOR

McBride has an exciting opportunity to support Allied Command Transformation (ACT) which is NATO's leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; improving relationships, interaction and practical cooperation with partners, nations and international organizations. ACT therefore leads Alliance concept development, capability development, training and lessons learned initiatives and provides unfettered military support to policy development within NATO. You will be responsible for the following: Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Program. Identify, contribute to, and implement machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets. Apply existing data science techniques to new problems and datasets using specialized programming techniques to meet the needs of the project and customer. Evaluate the outcomes and performance of data science models. Identify and implement opportunities to train and improve models and the data they use. Publish and report on machine learning model outputs to meet customer needs and conform to agreed standards. Utilize in-depth knowledge of NLP, ML applications, or computer vision. Demonstrate experience with Generative AI. Support review of data science and AI activities, processes, products, or services. Collaborate with other data professionals (such as data scientists, data and information managers, data engineers), software engineers, and SMEs from different functional areas, branches, and directorates within HQ SACT or NATO entities, as directed, for example in support of the ACT Innovation Branch. Provide subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develops proofs of concept, as directed. Provide outreach support to internal and external communities that bring together DS & AI practitioners and consumers. This comprises, for example, TIDE Sprint, the NATO Data Science & AI Expert Network, or initiatives related to academia and industry. Contribute to the development of scientific studies. Assist with educational efforts and training development and execution as it relates to data, AI, or digital literacy. Remain current with new developments in data science and AI to bring innovative ideas into implementation. Support building a data-driven culture that uses analytics to generate insights, improve decision-making at all levels, inform strategy and policy decisions, and enhance performance. Perform additional tasks as required by the COTR related to the LABOR category. Requirements Mandatory Qualifications: Proven work experience as a Data Scientist, AI/ML Engineer, or a similar role in the last four years. Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R. Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks. Experience with planning, executing, and maintaining data science pipelines. Experience visualizing data and producing high-quality graphs and reports, charts, and interactive dashboards using tools such as Tableau, MS Power BI, Kibana. Proven understanding of data security and privacy issues, particularly in international or military environments, to ensure compliance with NATO standards for protecting sensitive information. Experience in providing training in various areas related to data science, analytics, and AI at different technical levels. Portfolio of demonstrable products available via GitLab, or other platforms. Ability to work in a cloud environment, particularly Microsoft Azure or Amazon Web Services. Working experience in an international environment with both military and civilian elements. Proven ability to communicate effectively orally and in writing, with excellent briefing skills. Desired Qualifications: Experience working within a Big Data ecosystem, with tools such as Databricks, Spark, etc. Experience working with open source and publicly available data. Experienced 'data storyteller,' capable of presenting findings and insights effectively to non-technical audiences. Experience working on a military staff. Familiarity with federated learning methodologies to support secure collaboration and data sharing across NATO nations while maintaining sovereignty of sensitive datasets. Knowledge of NATO organization and its functions. Experience in project management, including agile methods and tools. Additional language skills, particularly those of NATO partner and member states, are advantageous. Education and Clearance: A Bachelor's degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR four years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last five years. Active NATO or National SECRET (or higher) security clearance. Eligibility and past experience working with NATO security clearance requirements to access and process classified or sensitive data. Benefits For U.S. residents only: 401(k) Dental insurance Health insurance Life insurance Paid time off Professional development assistance Referral program Vision insurance

McBride has an exciting opportunity to support Allied Command Transformation (ACT) which is NATO's leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; improving relationships, interaction and practical cooperation with partners, nations and international organizations. ACT therefore leads Alliance concept development, capability development, training and lessons learned initiatives and provides unfettered military support to policy development within NATO. You will be responsible for the following: Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments. Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise. Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics. Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference. Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis. Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure. Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows. Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines. Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO- specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO. Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy. Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics. Perform additional tasks as required by the Contracting Officer's Technical Representative (COTR) related to the LABOR category. Requirements Desired Qualifications: Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases. Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership. Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets. Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects. Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments. Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO's ethical frameworks for AI deployment. Mandatory Qualifications: Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud- based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes). Demonstrated experience working with GenAI , in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch , or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent. Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders. Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures. Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams. Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects. Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts. Benefits For U.S. residents only: 401(k) Dental insurance Health insurance Life insurance Paid time off Professional development assistance Referral program Vision insurance

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: $150,334-$183,742. The full pay range is $125,279-$208,798. Outside greater Seattle area target pay range: $132,673-$162,155. The full pay range is $110,561-$184,268. 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)

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: $136,669-$167,039. The full pay range is $113,890-$189,817. Outside greater Seattle area target pay range: $120,613-$147,415. The full pay range is $100,510-$167,517. 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)

Equity Residential (NYSE:EQR) is a leading multi-family REIT with premier apartment communities in top urban markets across the U.S. We're committed to innovation, exceptional service, and a collaborative culture where employees can make an impact and help residents Live Remarkably. The Senior Data Scientist holds a leadership role within the data team, bringing extensive experience to bear on complex and ambiguous business challenges. They play a pivotal role in shaping and executing the organization's analytical strategy, utilizing advanced analytical techniques to provide innovative solutions. Collaborating seamlessly with members of the DNA team, cross-functional teams, and key stakeholders across the enterprise, the Senior Data Scientist contributes valuable insights to guide decision-making and drive strategic initiatives. With a focus on delivering heightened value, they navigate ambiguous problem domains, leading the team in tackling sophisticated analytical tasks. In addition to their analytical prowess, Senior Data Scientists actively mentor and guide junior team members, fostering a culture of continuous learning and excellence. Their overarching goal is to elevate the data science capabilities of the organization, ensuring impactful contributions to business objectives. Who You Are: A Builder and Problem Solver: You thrive in ambiguous environments, shaping structure out of complexity. You're motivated by solving hard, high-impact problems - from modeling resident behavior to optimizing pricing systems - and take pride in seeing your work move from prototype to production. Scientifically Rigor and Pragmatic: You pair strong statistical and machine learning foundations with the judgment to choose the right level of complexity. You care about sound experimentation and model validity but know that elegant, deployable solutions matter most. Business-Curious and Insight-Driven: You're as comfortable digging into the data as you are discussing trade-offs with business leaders. You ask sharp questions, produce clear narratives, and connect analytical outcomes to decisions that drive measurable results. Results-Driven: You are committed to achieving high standards, continually driving improvements and fostering a culture of excellence. Collaborative and Technical Mentor: You enjoy working alongside data engineers and analysts to bring models to life, and you naturally elevate those around you - sharing code practices, explaining modeling choices, and helping others see the “why” behind the work. Execution-Focused: You move fast, communicate clearly, and take ownership from research through deployment. You care about impact, not just analysis. What You'll Do: Spearhead the development of innovative analyses, leveraging diverse data sets to significantly impact decision-making and propel the evolution of product features Apply advanced analytical techniques with a depth of experience to architect scalable solutions that address complex business challenges Lead collaboration with cross-functional partners, ensuring seamless integration of machine learning models into operational workflows to drive strategic initiatives Assume a pivotal role as a thought leader, providing expert guidance on data science methods to stakeholders and team members, particularly in navigating complex and ambiguous problem domains Drive the establishment of efficient, automated processes for large-scale data analyses, model development, validation, and implementation, emphasizing a senior-level perspective on optimization and performance Collaborate closely with Data Engineering and CloudOps teams, contributing senior-level expertise to seamlessly integrate successful models into production systems at scale Translate intricate business questions into analytical problems solvable with advanced data science techniques, emphasizing a nuanced approach to problem-solving Lead initiatives to strengthen and scale analytics infrastructure and processes, aligning with senior-level strategic objectives for enhanced efficiency and impact Act as a seasoned communicator, effectively conveying technical concepts and insights to audiences with varying levels of technical expertise, embodying the senior perspective in articulating complex ideas with clarity and impact Previous Experience & Requirements: Master's degree or PhD in Computer Science, Software/Computer Engineering, Mathematics or related discipline 4-8+ years of relevant experience in data analytics roles Expert in Python and SQL, competency in Scala/Java/C++ also considered Significant experience with supervised and unsupervised machine learning methods Experience with natural language processing, computer vision, and deep learning Experienced with data platforms like Databricks of Snowflake or processing frameworks like Apache Spark Hands on experience with one of the major cloud platforms preferred, Azure experience a plus Effective communication and collaboration skills Adaptability to learn new technologies and tools Time management and organizational abilities Salary: $150,000 - $184,000 per year ; in addition to base salary, a discretionary 13% annual bonus is provided. The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications. Highlights of the wellbeing benefits for Full-time employees include: Physical Wellbeing: Medical, dental, vision care and wellness programs Social Wellbeing: Paid holidays, annual vacation time, paid sick leave, new parent benefits, adoption assistance Financial Wellbeing: Competitive Compensation, 401(k) Retirement Savings Plan, Rent Discounts, FSA/HSA, and company-paid life & disability insurance Community Wellbeing: Paid Community Service Hours Career Wellbeing: Leadership Development, Tuition Assistance Learn more about our Total Wellbeing program here. Equity Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Equity Residential is committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.

We have a contract assignment for Big Data consultant who has expertise and experience in Hadoop, Cloudera , Spark, Kafka at Chicago, IL. This is 3+ months assignment with our client. This is a replacement position and we are looking for only the local candidate that can attend the in person interview. Qualifications expertise and experience in Hadoop, Cloudera , Spark, Kafka Additional Information All your information will be kept confidential according to EEO guidelines.

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one. 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: We are seeking a highly skilled Data Engineer to design, build, and optimize enterprise-grade data solutions leveraging Databricks and modern cloud technologies. This role will lead data solutions, data engineers, ensuring scalable, secure, and efficient data pipelines that power analytics and business intelligence across the division Key Responsibilities Design and develop data pipelines using Databricks Lakehouse architecture, including ingestion, transformation, and orchestration layers. Implement Medallion architecture (Bronze, Silver, Gold layers) and manage data lineage, quality, and governance using Unity Catalog. Drive adoption of best practices for data governance, metadata management, and cost optimization. Mentor and guide junior engineers, ensuring adherence to coding standards and architectural principles. Collaborate with cross-functional teams (data scientists, analysts, business stakeholders) to translate requirements into technical solutions. Automate workflows for data ingestion and transformation using Databricks Jobs and orchestration tools. Monitor and troubleshoot performance issues across pipelines and clusters. Implement robust data security measures, including encryption, access controls, and auditing. Stay current with emerging technologies and recommend improvements to enhance scalability and efficiency. Required Qualifications Experienced Senior Data Engineer with over 3 years of Databricks expertise. Strong hands-on expertise with Databricks, including: Spark (PySpark or Spark SQL) Delta Lake Data Lakehouse architecture Unity Catalog Proficiency in Python and SQL for data engineering workflows. Databricks Certified Data Engineer Professional (or equivalent) is mandatory. Familiarity with CI/CD practices and infrastructure-as-code. Preferred Qualifications Experience with DBT for transformation and dependency management. Azure Data Engineer Associate or AWS certifications are often preferred. Knowledge of data governance frameworks and observability tools. Exposure to machine learning pipelines and MLflow is a plus. General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan. CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals 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. CRC Group is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Big challenges need bold thinkers. If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems. We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in. We do not accept unsolicited resumes from third-party recruiters. Job Description We are seeking a technically skilled and business-savvy SQL Server Data Engineer to support our data infrastructure, reporting needs, and budgeting processes. The ideal candidate will have strong experience with SQL Server and SSRS, excellent communication skills, familiarity with budgeting systems, and a consulting mindset to work effectively across teams. Key Responsibilities: Develop, maintain, and optimize SQL Server databases and queries. Design, develop, and deploy reports using SQL Server Reporting Services (SSRS). Collaborate with finance and operations teams to support budgeting and forecasting processes. Act as a consultant to internal stakeholders, translating business needs into technical solutions. Communicate effectively with both technical and non-technical audiences. Ensure data accuracy, integrity, and security across systems. Troubleshoot and resolve data/reporting issues in a timely manner. Document processes and provide user support for reporting tools. Qualifications Proven experience with SQL Server (T-SQL, stored procedures, performance tuning). Strong knowledge of SSRS report development and deployment. Experience working with budgeting or financial systems. Familiarity with large and complex databases, including performance optimization and data modeling. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a consulting capacity. Preferred Skills: Experience with OLAP cubes or multidimensional data models. Experience with ETL tools or data integration platforms. Experience with fund-based accounting. Familiarity with Excel-based reporting and pivot-tables. Understanding of financial concepts and budgeting workflows. Additional Information Work Schedule: Hybrid schedule: 3 days/week in office; 2 days remote Compensation: Salary depends on experience and expertise. Compensation includes a comprehensive fringe-benefits package. RESPEC is a 100% employee-owned company and employees are eligible for participation in the Employee Stock Ownership Plan (ESOP) after a qualifying period. Featured benefits include: · Flexible Work Schedules · Paid Parental Leave · 401(k) & ESOP (with company match up to 4%) · Professional Development and Training · Tuition Reimbursement · Employee Assistance Program · Medical/Dental/Vision Insurance Plans All your information will be kept confidential according to EEO guidelines.

Job DescriptionDescription: Client Solution Architects (CSA) is currently seeking a Data Engineer Lead to support a program in the Norfolk, Virginia area. For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions. CSA Global Inc. is seeking a Data Engineer and Team Lead to enable secure, reliable, and scalable data solutions that directly impact J35S Global Force Management (GFM) systems and technology. The selected candidate will design and maintain enterprise-grade extract, transfer, load (ETL) pipelines, performing advanced data integration, cleaning, and transformation to ensure accuracy and compliance across diverse systems. In addition, enable seamless data flows that power analytics, visualization, and decision-making, while ensuring strict adherence to DoD cybersecurity and governance standards to ensure operational integrity. The mission of DDJ35 is to source and deploy trained and ready joint capable forces, lead the improvement of the Global Force Management and Joint Deployment processes, monitor force readiness and deployment, and support the implementation of Resource-Informed Planning in support of the Joint Staff's mission. How Role will make an impact: Operational analysis and management of Global Force Management related to Joint Technology Development efforts. Analyze government-provided, authoritative and classified data to assist the J35 with gaining insight into Global Force Management GFM) and Planning and Execution (PLEX) process outcomes, as well as building statistical models to support process decision-making, and create machine learning models to support J35 efforts to automate and simplify key GFM and PLEX processes. Conduct high-level market and business operation research to identify trends and relations and, as part of this, use a variety of sophisticated machines and methods to interact with and act upon data contained within the inventory of the DoD's mission critical and mission essential IT systems. Analyze raw data provided by J35 government POCs, and turn it into actionable, understandable content with the help of the J35 GFM Operational managers using various mathematical models and algorithms. This information is used as an analysis source to tell the CJCS and Service/Combatant Commanders and J35 leadership of the "bigger picture" of the IT modernization efforts vital to decision makers. Analyze data warehousing solutions and maintain familiarity with ETL Tools with data storage and retrieval, as the amount of data being dealt with is simply complex due to its inherent legacy. Provide sustainment and improvement Design, build, and maintain data pipelines to support enterprise data flows. Perform data integration, cleaning, and transformation across structured and unstructured sources. Develop and implement data models to support analytics, visualization, and reporting. Collaborate with analysts, developers, and mission stakeholders to ensure data accuracy and accessibility. Deploy and manage solutions on cloud platforms (AWS, Azure, DoD Cloud) in compliance with federal security standards. Create and maintain APIs for secure data access and integration. Troubleshoot and optimize the performance of large-scale data processing systems. Ensure compliance with government data governance and cybersecurity requirements. Serve as the contractor Team Lead and supervise CSA employees. Coordinate contractor team requirements with the Contracting Officer's Representative and CSA Program Manager. Requirements: What you'll need to have to join our award-winning team: Clearance: Must possess and maintain an active U.S. Secret Clearance Education: Master's degree with a minimum of 8 years' experience or Bachelor's degree with a minimum of 12 years' experience or no degree and 14 years' experience of technical areas with the operation, design, development, documentation, and operation of distrubted computer M&S Security+/Network+ ETL, data modeling, SQL, Python, Spark, cloud platforms (AWS, Azure, DoD Cloud), and APIs Demonstrated success in one (1) or more technical areas: Experience with software development management and systems engineering training or education (certification desired) Knowledge, skills and experience in planning and defining operational requirements for local and wide area communications networks (voice, data, and video). Experience with testing and evaluations of modeling and simulation (M&S) and Command and Control (C2) Systems. Experience in the ability to develop and maintain web-based joint training. Experience in developing and managing unique aspects of software intensive programs. Experience with managing and integrating web-based training products (including software, hardware, and network aspects). Familiarity and experience with Java 9 “WildFly”, Oracle 10i - moving to PostGres SQL, Tools supporting Java Enterprise Edition such as Hibernate Java Servlet Specification, Java Server Faces, and Java EE Context Dependency Injection. Shareable Content Object Reference Model support, Hypertext Markup Language 5 support, DoD Command Access Card Public Key Infrastructure, Schema Design, Production Language, Structured Query Language, and Database Optimization. Analyze code, identify area of improvement for cybersecurity, enhance performance of the mobile learning suite servers, as well as their methodology for analyzing, designing, developing, testing, and fielding enhancements. Understanding of the use of Jenkins, Eclipse, Subversion, and Bugzilla What Sets you apart: Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics Google Cloud Professional Data Engineer Databricks Certified Data Engineer Qlik data analytics certifications

Client Solution Architects (CSA) is currently seeking a Data Engineer Lead to support a program in the Norfolk, Virginia area. For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions. CSA Global Inc. is seeking a Data Engineer and Team Lead to enable secure, reliable, and scalable data solutions that directly impact J35S Global Force Management (GFM) systems and technology. The selected candidate will design and maintain enterprise-grade extract, transfer, load (ETL) pipelines, performing advanced data integration, cleaning, and transformation to ensure accuracy and compliance across diverse systems. In addition, enable seamless data flows that power analytics, visualization, and decision-making, while ensuring strict adherence to DoD cybersecurity and governance standards to ensure operational integrity. The mission of DDJ35 is to source and deploy trained and ready joint capable forces, lead the improvement of the Global Force Management and Joint Deployment processes, monitor force readiness and deployment, and support the implementation of Resource-Informed Planning in support of the Joint Staff's mission. How Role will make an impact: * Operational analysis and management of Global Force Management related to Joint Technology Development efforts. * Analyze government-provided, authoritative and classified data to assist the J35 with gaining insight into Global Force Management GFM) and Planning and Execution (PLEX) process outcomes, as well as building statistical models to support process decision-making, and create machine learning models to support J35 efforts to automate and simplify key GFM and PLEX processes. * Conduct high-level market and business operation research to identify trends and relations and, as part of this, use a variety of sophisticated machines and methods to interact with and act upon data contained within the inventory of the DoD's mission critical and mission essential IT systems. * Analyze raw data provided by J35 government POCs, and turn it into actionable, understandable content with the help of the J35 GFM Operational managers using various mathematical models and algorithms. This information is used as an analysis source to tell the CJCS and Service/Combatant Commanders and J35 leadership of the "bigger picture" of the IT modernization efforts vital to decision makers. * Analyze data warehousing solutions and maintain familiarity with ETL Tools with data storage and retrieval, as the amount of data being dealt with is simply complex due to its inherent legacy. Provide sustainment and improvement * Design, build, and maintain data pipelines to support enterprise data flows. * Perform data integration, cleaning, and transformation across structured and unstructured sources. * Develop and implement data models to support analytics, visualization, and reporting. * Collaborate with analysts, developers, and mission stakeholders to ensure data accuracy and accessibility. * Deploy and manage solutions on cloud platforms (AWS, Azure, DoD Cloud) in compliance with federal security standards. * Create and maintain APIs for secure data access and integration. * Troubleshoot and optimize the performance of large-scale data processing systems. * Ensure compliance with government data governance and cybersecurity requirements. * Serve as the contractor Team Lead and supervise CSA employees. Coordinate contractor team requirements with the Contracting Officer's Representative and CSA Program Manager. Requirements What you'll need to have to join our award-winning team: * Clearance: Must possess and maintain an active U.S. Secret Clearance * Education: Master's degree with a minimum of 8 years' experience or Bachelor's degree with a minimum of 12 years' experience or no degree and 14 years' experience of technical areas with the operation, design, development, documentation, and operation of distrubted computer M&S * Security+/Network+ * ETL, data modeling, SQL, Python, Spark, cloud platforms (AWS, Azure, DoD Cloud), and APIs * Demonstrated success in one (1) or more technical areas: * Experience with software development management and systems engineering training or education (certification desired) * Knowledge, skills and experience in planning and defining operational requirements for local and wide area communications networks (voice, data, and video). * Experience with testing and evaluations of modeling and simulation (M&S) and Command and Control (C2) Systems. * Experience in the ability to develop and maintain web-based joint training. * Experience in developing and managing unique aspects of software intensive programs. * Experience with managing and integrating web-based training products (including software, hardware, and network aspects). * Familiarity and experience with Java 9 "WildFly", Oracle 10i - moving to PostGres SQL, Tools supporting Java Enterprise Edition such as Hibernate Java Servlet Specification, Java Server Faces, and Java EE Context Dependency Injection. * Shareable Content Object Reference Model support, Hypertext Markup Language 5 support, DoD Command Access Card Public Key Infrastructure, Schema Design, Production Language, Structured Query Language, and Database Optimization. * Analyze code, identify area of improvement for cybersecurity, enhance performance of the mobile learning suite servers, as well as their methodology for analyzing, designing, developing, testing, and fielding enhancements. * Understanding of the use of Jenkins, Eclipse, Subversion, and Bugzilla What Sets you apart: * Microsoft Certified: Azure Data Engineer Associate * AWS Certified Data Analytics * Google Cloud Professional Data Engineer * Databricks Certified Data Engineer * Qlik data analytics certifications

Job Title: Data Analytics Engineer Reports to: Data Analytics Manager Employment Type: Full-time Seniority Level: Mid-Level Industry: Manufacturing | Mechanical Power Transmission Components | Engineering Services Job Function: Analysis | Data Collection | Data Reporting | Data Modeling Job Summary: The Dodge Industrial Data Analytics Engineer designs, implements, and maintains systems used to collect and analyze business intelligence data. Uses both strategic and analytical frameworks to create dashboards, databases, and other platforms that allow for efficient collection and evaluation of business intelligence data for internal stakeholders. They work closely with stakeholders across the business to understand BI goals and objectives to ensure the systems and their capabilities support competitive research efforts that achieve those goals. The Data Analytics Engineer is a forward-thinking problem solver who can lead the organization in building a modern data reporting platform that will support data science and business intelligence initiatives for years to come. Key Responsibilities: 1. Data Collection & Cleaning • Gather data from various sources (including but not limited to), S/4 HANA, databases, spreadsheets, and APIs. • Ensure data accuracy, consistency, and completeness through rigorous cleaning and validation processes. • Design, build, and maintain scalable data pipelines from SAP S/4 HANA to SAP Datasphere. • Create and maintain API integrations utilizing MuleSoft to extract data from various enterprise systems as well as transfer data between them. 2. Data Modeling • Develop and optimize SQL queries, stored procedures, and other various Datasphere objects to transform and model data. • Transform raw operational data into well-structured, documented analytics models that utilize best practices for efficiency. • Models should be well documented and easy to consume by both lower-level developers and business stakeholders. 3. Data Analysis & Exploration • Conduct exploratory data analysis (EDA) to uncover patterns, trends, and anomalies. • Utilize statistical methods, machine learning, and data visualization techniques to analyze data and derive meaningful insights. • Develop and implement data models to support business objectives. 4. Reporting & Insights • Develop and distribute regular reports on key performance indicators (KPIs) and metrics. • Provide actionable insights and recommendations based on data analysis findings. • Support data-driven decision-making by presenting findings clearly and concisely. Required Qualifications: • Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. • Strong SQL Skills. • Demonstrated experience with Microsoft Power BI reporting with proficiency In DAX and Power Query (M). • Experience pulling data from ERP systems - (SAP S4 HANA preferred). • ETL/ELT pipeline management. • Strong Python programming language skills. • Cloud Infrastructure - Azure (Preferred), AWS, GCP. • Data Warehousing - Datasphere (Preferred), Snowflake, Synapse, Redshift. • Data Integration and API Development - (MuleSoft preferred). • Microsoft Ecosystem Experience Strongly Preferred. • Database Administration. • Change Management (Azure DevOps, Git, CD/CI). • Machine Learning and AI experience preferred. • REST API Knowledge. Physical Requirements: • Extended periods of sitting at a workstation. • Speaking in person and over the telephone or Teams online and the ability to hear, comprehend, and document detailed information from others. • Ability to type, reach, and grasp. • Intermittent standing and walking within the office environment. • Ability to communicate verbally and in writing over the phone and in person for extended periods. Essential Job Functions: • Design and implement comprehensive data collection systems and analytics processes. • Develop and maintain complex relational databases, ensuring data integrity, efficiency, and security. • Create and optimize SQL queries for large-scale data extraction and manipulation. • In-person collaboration. • Implement data quality controls and perform regular audits to maintain high data standards. • Ability to understand business requirements and transfer that knowledge to create effective data models and reports using Business Intelligence tools such as Power BI. • Ability to organize and lead the implementation of secure, sustainable, and maintainable data models and pipelines that enable data consumption across all organization functions. • Ability to effectively communicate with teams across all functions to understand business data needs and required transformations to ensure data completeness and accuracy. • Extraction, loading, and transformation of information from SAP S4 HANA to Datasphere, primarily using (but not limited to) CDS Views, SQL and Python. • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines. • No full-time remote available. Position resides at Dodge Industrial headquarters in Simpsonville, SC. • Must have work authorization that permits working for Dodge Industrial in the US. • Fluent in spoken and written English. Why Join Us? • Work alongside a collaborative, experienced leadership team. • Be part of an industry leader with a strong brand reputation and an innovation-driven culture. RBC Bearings is an Equal Opportunity Employer, including disability and protected veteran status.

Point is building a modern and aspirational banking experience by bringing rewards and benefits to the everyday debit card. We are looking for a Data Engineer to pioneer the data team at Point and be responsible for building out the data pipelines and systems necessary to develop best in class algorithms, models, etc. You will have ownership over the data pipelines and infrastructure in addition to setting the foundation for data engineering at Point. This role will be working closely with the engineering team and data science to accomplish product initiatives and business goals. This position will report directly to the CTO. Learn more about Point's team and culture here.You Will: Design and build scalable and robust data management systems Ensure that all systems meet industry best practices and business requirements Create custom services and tooling when applicable Implement disaster recovery procedures Collaborate with engineers and data scientists on projects You Have: Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Physics Statistics or equivalent work experience 5+ years of relevant professional experience working at a notable startup or technology company. Strong algorithmic and data modeling knowledge Experience working with a Hadoop or similar ecosystem Expert in SQL and a scripting language like Python Nice to Have: Experience working with AWS data products Experience building a data pipeline from scratch Have built a real-time data pipeline using a streaming technology like Kinesis or Kafka Perks Competitive salary and stock options 401k Full health benefits (medical, dental, and vision insurance). 20-day vacation policy. Can roll over up to 10 days per year. And we shut down the office in between Christmas and New Year's. Flexible WFH and sick day allowance. Education Credits: $25/mo. Keep learning - books, courses, training, etc. Wellness Credits: $50/mo. Take care of yourself - gym, fitness classes, meditation, etc. Commute Credits: $100/mo. Don't stress rush hour - public transit, bike, lyft, etc. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.