Data Scientist jobs at Grandbridge Real Estate Capital - 94 jobs

About the Company For over 70 years, Stiles has been a leader in commercial real estate across the Southeast. Headquartered in downtown Fort Lauderdale, we're a full-service firm with expertise in development, construction, architecture, realty, and property management - plus specialties in financing, acquisitions, and repositioning. With over 50 million square feet of projects delivered, our award-winning work has helped shape skylines and communities alike. Be part of a team that invests, builds, and manages with purpose. About the Role We are seeking a detail-oriented and proactive Subcontractor Prequalification & Data Integration Coordinator to manage the end-to-end process of subcontractor prequalification invitations, tracking and progressions supporting our Subcontractor Default Insurance (SDI) program. This role is also responsible for maintaining data integrity between our subcontractor invitation-to-bid software and internal databases, ensuring seamless communication and accurate records across platforms. Key Responsibilities: Subcontractor Prequalification Management: Coordinate and send prequalification invitations to subcontractors participating in the SDI program. Track responses and follow up with subcontractors to ensure timely completion. Maintain accurate records of prequalification status and documentation. Data Synchronization & Integration: Ensure subcontractor data is consistently updated and synchronized between the SDI platform and invitation-to-bid software. Monitor data flows and troubleshoot discrepancies between systems. Collaborate with IT and software vendors to optimize integration processes. Reporting & Compliance: Generate regular reports on prequalification status, compliance metrics, and data integrity. Support audits and internal reviews by providing accurate and timely documentation. Ensure all processes align with company policies and insurance program requirements. Gather information for bordereau reports and update with risk managers. Stakeholder Communication: Serve as a liaison between project teams, risk management, accounting and subcontractors regarding prequalification and data issues. Provide training and support to internal users on software tools and workflows. Qualifications: Experience with subcontractor management, insurance programs, or construction operations preferred. Familiarity with invitation-to-bid platforms (i.e., SmartBid) and database tools. Strong organizational skills and attention to detail. Excellent communication and problem-solving abilities. Proficiency in Excel and data management systems. Stiles is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status in accordance with applicable federal, state, and local laws.

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.

SpecPro Sustainment & Environment (SSE) is seeking a highly skilled Data Scientist to support the Air Force Civil Engineer Center's (AFCEC) Strategic Acquisition and Category Management program within AFCEC. The Air Force is advancing its acquisition strategy through innovation, data-driven methodologies and Category Management principals. The selected candidate will be a part of the SSE team providing advanced data analytics to deliver actionable insights and practical solutions to complex challenges. This position will work on our highly collaborative and innovative team of data scientists, analysts, and developers to serve the Category Management team in its mission of eliminating redundancies, increasing efficiencies, and enhancing overall mission effectiveness across multiple lines of effort. Responsibilities will include the following: Development and delivery of comprehensive data defined documents focusing on Cost, Schedule and Performance metrics, trend analysis and indicators aligned with strategic plan initiatives. Conduct in-depth data reviews and analyses across phased programs covering all areas of the Air Force Civil Engineer spectrum. Support integration of multiple database tools including socialization of data tool capabilities, development of learning aids for tool implementation, development of dashboard exports to align with reporting cycles for senior leader briefings, incorporation of user feedback, collaboration for development and tracking of metrics for performance, and application of analytics to dashboard tools and integration. Collaborate with Subject Matter Experts (SMEs) and customers to identify gaps, future requirements, and portfolio objectives, while highlighting meaningful metrics. Perform management of large dataset APSR information compilation, reporting and application, possibly involving multiple projects and groups of personnel at multiple locations. Provide sustained portfolio support around all Category Management initiatives, including deep analytics, metric driven evaluation, ad-hoc analysis and support any Congressional taskings. Manage and maintain any models relating to the specific data sets supporting Category Management and ensuring applicability for annual updates. Develop informative, professional graphs, charts, datasets, and comparative analysis. Generate finished product reports and presentations for appropriate stakeholders. Potential travel to various USAF installations to provide training and perform data quality analysis as a part of Asset Management team. The ideal candidate will be a highly motivated self-starter with the ability to work independently while also contributing effectively in a team environment. Basic Qualifications: Bachelor's Degree, preferably in STEM field such as math, statistics, data science, engineering, IT, or computer science. 3+ years of related experience. Proficient with Exploratory Data Analysis (EDA) and able to tell the story within the data to technical and non-technical professionals. Experienced in Linear and Logistic Regression, Decision Trees, PCA, and Random Forest Modeling in Python or R coding languages. Proficient in Microsoft Excel, Word, and PowerPoint. Experience working with databases preferred. Work well in a team environment, able to independently develop professional deliverables and take direction well. Strong written and verbal communication skills including the ability to develop graphs, charts, datasets, and comparative analysis. Ability to adapt and develop innovative solutions. Understanding of cross-functional span of control over various specialties and fields. Preferred Qualifications: Experienced in Air Force SMS Systems such as BUILDER, PAVER, GeoBase/GIS, etc. Experience in data visualization with Tableau, Python, or similar software. Understanding of SQL and database querying. Experience with Air Force data base structures including APSR, ACES-RP, NexGenIT, and other data bases. Experience in a customer service, contractor environment. Air Force experience preferred. A background in engineering, math, statistics, data analysis, information systems, planning, or investment. An existing NAC-I clearance or ability to receive clearance. Position may require Secret Clearance. The position will support a mixed government - contractor environment in San Antonio, TX. While this position is considered a remote position, customer engagements are routine and often required for the team to have an on-site presence at Joint Base San Antonio - Kelly AFB. This position requires the ability to receive a NAC-I clearance.

**************** 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: $187,363 - $228,999. The full pay range is $156,136 - $260,226 Outside greater Seattle area target pay range: $165,352 - $202,096. The full pay range is $137,793 - $229,655. Greater Seattle Area is defined as working within approximately 100 miles of Seattle. Outside Greater Seattle is defined as working approximately 100 miles or more from Seattle. Benefits: Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. In addition, as a benefits-eligible employee, you are: covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages. eligible to participate in PEMCO's 401(k) plan which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums). PEMCO provides the following paid leave programs for benefits-eligible employees in their first year of PEMCO employment: Vacation accrues at a rate of 10 days for new hires, and increases based on a schedule to a maximum annual accrual of 25 days based on tenure. Granted four (4) personal days immediately upon hire. Paid holidays for the eight (8) holidays observed by PEMCO throughout the calendar year. Granted up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status), which is approximately 28 hours more per year than the Washington state-required accrual. In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community. Other miscellaneous benefit programs offered by PEMCO include: Flexible Spending Accounts. Education Assistance Program after one year of service. Scholarship program for children of PEMCO employees after one year of service. Employee Assistance Program. Well-being program. Discretionary taxable gifts and gift cards. And other Perks & Benefits including discounts on computer software and hardware, cell phone plans, and rental cars. Other compensation depending on role, contributions, and performance may include: Discretionary bonuses. Tiered sales commissions and/or incentives (from 5-25% of employee's monthly sales). Employee referral bonuses. Shift differential pay. Equal Employment Opportunity: At PEMCO, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. PEMCO is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status. Applicants have rights under Federal Employment Laws: Family and Medical Leave Act (FMLA) Equal Employment Opportunity (EEO) Employee Polygraph Protection Act (EPPA)

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, 13 paid holidays and 1 floating holiday. Ongoing Learning and Development - Quarterly summits, town hall meetings and continuous training to support your professional growth. A Culture that Celebrates You - We believe in collaboration, recognition and having fun while doing important work. This summary is not an all-inclusive description of job duties. Other job duties and responsibilities may also be assigned by the incumbent's supervisor at any time based upon Company need. Employment with Progress Residential is conditional on a satisfactory background and drug screen. Progress Residential is a proud Equal Opportunity employer, m/f/d/v. Privacy Policy

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Data Scientist - JLL Falcon AI Platform About the job JLL (NYSE: JLL) is a leading professional services and investment management firm specializing in real estate. We are a Fortune 500 company with operations in over 80 countries, a workforce of nearly 100,000 individuals around the world, and annual revenue of almost $20B. Within JLL, we are part of JLL Technologies, a strategic business group whose mission is to leverage technology to increase the value and liquidity of the world's buildings. We established a centralized AI Platform team to democratize AI capabilities enterprise-wide while maintaining security, compliance, and quality standards. Our mission is to empower JLL's 100,000+ employees to innovate and drive productivity through AI-embedded directly into their daily workflows. JLL Falcon is our enterprise AI platform that makes AI capabilities simple, reliable, and accessible across every commercial real estate workflow. We deliver conversational AI (JLL GPT), intelligent assistants (Outlook Assistant), and developer-specific tools. Our vision is to enable AI agents that can complete tasks autonomously-shifting from assistive AI to agentic AI that reduces manual work and accelerates decision-making. As a Data Scientist on the JLL Falcon team, you'll be working on critical platform capabilities that enable AI agents, evaluation frameworks, and cutting-edge AI technologies at enterprise scale. This role is based in San Francisco, where you'll work closely with your data science and product partners to drive the platform's AI capabilities forward. Highlights: * Cutting-edge AI work: Build and enable platform capabilities for AI agents, working with modern technologies including RAG, LangChain, LangGraph, advanced evaluation frameworks, and more. * Enterprise impact: Your work will directly impact how 100,000+ employees interact with AI across JLL's global operations. * Small team, big resources: Work in a focused, collaborative team with the resources and support of a Fortune 500 company. * Critical role: This position is essential to the team's roadmap and represents a unique opportunity to shape the future of AI at JLL. On a typical day, you will: * Develop, evaluate, and continuously improve gen AI using engineering and advanced data science approaches * Design and develop intelligent agent architectures using frameworks like LangChain and LangGraph for autonomous decision-making and task execution * Build comprehensive evaluation frameworks for models, assistants, and agents, including stable evaluation datasets and core metrics * Implement advanced Retrieval-Augmented Generation (RAG) techniques to enhance agent knowledge and capabilities * Partner with multi-functional peers from engineering, product, and business to deliver AI solutions * Communicate results orally and in writing to facilitate collaboration and team growth. We are looking for: * Master's degree (PhD preferred) in data science, computer science, mathematics, AI, machine learning, or related STEM fields * 2+ years of industry experience in a data science, researcher, or machine learning role * Experience working on data science projects end-to-end including planning, data exploration, data processing, model development, evaluation, model deployment to production, and project presentation to stakeholders * Hands-on experience with frameworks like LangChain, LangGraph, or similar tools for building and orchestrating LLM-powered applications * Experience with rigorous evaluation and assessment of AI models and systems * Experience working on data science projects end-to-end including planning, data exploration, data processing, model development, evaluation, model deployment to production, and project presentation to stakeholders * Experience with multi-agent systems and agent communication protocols - Advantage * Knowledgeable in commercial real estate sector - Advantage * Eagerness to contribute to the broader scientific community via teaching, open source contributions, blogging, publishing, organizing events, etc. - Advantage This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without employer sponsorship. Estimated compensation for this position: 130,000.00 - 180,000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -San Francisco, CA If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: * 401(k) plan with matching company contributions * Comprehensive Medical, Dental & Vision Care * Paid parental leave at 100% of salary * Paid Time Off and Company Holidays * Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at ******************. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.

Who We Are: At PEMCO we're all about people - our customers, our employees, and the community. We're a mutual insurance company owned by our Northwest policyholders. We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America's Best Insurance Companies in both Auto and Home for 2025 based on customer survey feedback and by Newsweek as one of America's Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. All of which makes PEMCO a great place to work! Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We're committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace. These efforts create and cultivate an environment that builds fairness and understanding, encourages collaboration and flexibility, and celebrates all the ways in which we're different and the same - enabling all individuals to achieve their full potential. Why We Need You: Join our dynamic Product Development team as a Senior Actuary, where you will play a key role in driving profitability assessments, process improvements, and strategic decision-making. In this role, you will take the lead in shaping financial strategies and optimizing insurance products to adapt to evolving market demands. Your advanced analytical expertise will be critical in leveraging data-driven insights to enhance decision-making processes and drive sustainable growth. This position is ideal for experienced actuaries seeking to apply their expertise across multiple actuarial domains, including pricing, reserving, and modeling, while mentoring junior team members and contributing to high-impact initiatives in a collaborative environment. What You'll Be Doing: Lead internal loss reserving to track and analyze trends, ensuring financial stability and accurate forecasting. Employ advanced actuarial techniques for in-depth pricing analysis, refining both overall rate level and rating variable determinations. Drive innovative indication methodologies and lead process automation to enhance efficiency and accuracy. Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to drive insights and decision-making, under the guidance of actuarial management and the product manager. Participate with business partners in making product decisions and analyze the associated impacts, leveraging expert actuarial insights to inform key financial outcomes. Oversee the preparation and review of regulatory filings, ensuring they align with company objectives and meet compliance standards. Provide expert insight on the company's annual forecast and inform business partners of emerging trends and potential risks. Proactively investigate and assess issues and trends in actuarial science. Mentor junior team members and contribute to high-impact initiatives in a collaborative environment. Act as consultant when advanced skills in mathematics, statistics, and modeling are required. Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct. Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More. Other duties as assigned. What You'll Bring: B.A. or B.S. degree or equivalent work experience (Mathematics or equivalent) is required. 8 years of experience in property casualty actuary work with a wide range of experience with a focus on rate-making and a broad knowledge of personal lines is required. Strong technical aptitude and programming experience Fellow of the Casualty Actuarial Society (FCAS) is required. Precision: Is detail orientated and has a strong desire for accuracy and thoroughness is required Problem Solver: Ability to analyze, diagnose and resolve complex unstructured problems quickly, efficiently, and collaboratively is required. MS Office: Skilled proficiency in MS Office is required. Expert in Excel. Job specific: Knowledge of Mathematics, Statistics and Modeling as well as strong software application and predictive modeling skills is required. Job specific: Skilled proficiency with Python, R, SAS and/or SQL is required. Experience with Radar, Emblem, or ResQ is considered advantageous. Highly Analytical: Is passionate about working with disparate datasets bringing data together to answer business questions. Collaborates to create, manage, and translate data to meaningful insights. Can work with external vendors to integrate data for analysis; knows how to build efficient and scalable infrastructure and data models is required. Business Environment: Has a thorough understanding of our industry, the relevant business landscape, trends in growth and insurance environments; the ability to spot early indicators of change and apply strategies to adapt quickly is required. What We Value: In fostering a culture where everyone thrives, PEMCO embodies a set of core traits that guide our collective efforts. These traits include: Make Agile Decisions: Define desired outcomes. Use a consistent, inclusive approach. Drive decisions with a sense of urgency. Pivot decisions quickly as supported by data. Build Trust: Listen to understand and use direct and open communication. Engage in healthy debate with mutual respect. Find solutions and move forward together. Own Results: Commit to desired outcomes. Define and achieve success metrics. Anticipate and mitigate risks, and always have a plan B. Take accountability for and learn from outcomes. Empower Execution: Take action to drive desired outcomes. Act with initiative, mastery, and purpose. Explore Fearlessly: Make swift, iterative progress through testing and learning, create a safe place to fail fast and learn from mistakes, and continuously improve. Value People: Appreciate and care about unique experiences and perspectives Respect the dignity of others and have empathy for people Authentically and meaningfully support and recognize people in real time. These traits form the bedrock of our commitment to caring deeply for each other, our customers, and our community. As you become a part of PEMCO, your contribution will further enrich our success story, where the power of these shared values propels us forward. Compensation: The pay range for this role is shown below. Compensation decisions are determined based on an individual's qualifications, job-related knowledge, skills, and experience. Greater Seattle area target pay range: $170,330-$208,181. The full pay range is $141,941-$236,569 . Outside greater Seattle area target pay range: $150,319-$183,723. The full pay range is $125,266-$208,777. Greater Seattle Area is defined as working within approximately 100 miles of Seattle. Outside Greater Seattle is defined as working approximately 100 miles or more from Seattle. Benefits: Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. In addition, as a benefits-eligible employee, you are: covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages. eligible to participate in PEMCO's 401(k) plan which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums). PEMCO provides the following paid leave programs for benefits-eligible employees in their first year of PEMCO employment: Vacation accrues at a rate of 10 days for new hires, and increases based on a schedule to a maximum annual accrual of 25 days based on tenure. Granted four (4) personal days immediately upon hire. Paid holidays for the eight (8) holidays observed by PEMCO throughout the calendar year. Granted up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status), which is approximately 28 hours more per year than the Washington state-required accrual. In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community. Other miscellaneous benefit programs offered by PEMCO include: Flexible Spending Accounts. Education Assistance Program after one year of service. Scholarship program for children of PEMCO employees after one year of service. Employee Assistance Program. Well-being program. Discretionary taxable gifts and gift cards. And other Perks & Benefits including discounts on computer software and hardware, cell phone plans, and rental cars. Other compensation depending on role, contributions, and performance may include: Discretionary bonuses. Tiered sales commissions and/or incentives (from 5-25% of employee's monthly sales). Employee referral bonuses. Shift differential pay. Equal Employment Opportunity: At PEMCO, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. PEMCO is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status. Applicants have rights under Federal Employment Laws: Family and Medical Leave Act (FMLA) Equal Employment Opportunity (EEO) Employee Polygraph Protection Act (EPPA)

Who We Are: At PEMCO we're all about people - our customers, our employees, and the community. We're a mutual insurance company owned by our Northwest policyholders. We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America's Best Insurance Companies in both Auto and Home for 2025 based on customer survey feedback and by Newsweek as one of America's Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. All of which makes PEMCO a great place to work! Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We're committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace. These efforts create and cultivate an environment that builds fairness and understanding, encourages collaboration and flexibility, and celebrates all the ways in which we're different and the same - enabling all individuals to achieve their full potential. Why We Need You: PEMCO has a dynamic and challenging opportunity for an Actuary to join our community. Join our dynamic Product Development team and play an important role in driving our profitability assessments and process improvements. In this role, you will contribute to shaping our financial strategies and optimizing our insurance products to adapt to changing market demands. Your analytical skills will be instrumental in leveraging data-driven insights to refine decision-making processes and promote sustainable growth. This position is ideal for actuaries who are eager to learn and excel in various actuarial domains, including pricing, reserving, and modeling, and are looking for new challenges in a collaborative environment. What You'll Be Doing: Conduct internal loss reserving to track and analyze trends, ensuring financial stability and accurate forecasting. Employ advanced actuarial techniques for detailed pricing analysis, enhancing both overall rate level and rating variable determinations. Innovate indication methodologies and streamline process automation. Assist in the development of sophisticated actuarial models, using predictive modeling techniques and statistical analysis to drive insights and decision-making, under the guidance of actuarial management and the product manager. Participate with business partners in making product decisions and analyze the associated impacts. Prepare regulatory filings, ensuring they align with company objectives and meet compliance standards. Provide the feedback on the company's annual forecast and inform business partners of emerging trends and potential risks. Proactively investigate and assess issues and trends in actuarial science. Act as consultant when advanced skills in mathematics, statistics, and modeling are required. Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct. Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More. Other duties as assigned. What You'll Bring: B.A. or B.S. degree or equivalent work experience (Mathematics or equivalent) is required. 5 years of experience in property casualty actuary work with a wide range of experience with a focus on rate-making and a broad knowledge of personal lines is required. Strong technical aptitude and programming experience Associate of the Casualty Actuarial Society (ACAS) is required. Precision: Is detail orientated and has a strong desire for accuracy and thoroughness is required Problem Solver: Ability to analyze, diagnose and resolve complex unstructured problems quickly, efficiently, and collaboratively is required. MS Office: Skilled proficiency in MS Office is required. Expert in Excel. Job specific: Knowledge of Mathematics, Statistics and Modeling as well as strong software application and predictive modeling skills is required. Job specific: Skilled proficiency with Python, R, SAS and/or SQL is required. Experience with Radar, Emblem, or ResQ is considered advantageous. Highly Analytical: Is passionate about working with disparate datasets bringing data together to answer business questions. Collaborates to create, manage, and translate data to meaningful insights. Can work with external vendors to integrate data for analysis; knows how to build efficient and scalable infrastructure and data models is required. Business Environment: Has a thorough understanding of our industry, the relevant business landscape, trends in growth and insurance environments; the ability to spot early indicators of change and apply strategies to adapt quickly is required. What We Value: In fostering a culture where everyone thrives, PEMCO embodies a set of core traits that guide our collective efforts. These traits include: Make Agile Decisions: Define desired outcomes. Use a consistent, inclusive approach. Drive decisions with a sense of urgency. Pivot decisions quickly as supported by data. Build Trust: Listen to understand and use direct and open communication. Engage in healthy debate with mutual respect. Find solutions and move forward together. Own Results: Commit to desired outcomes. Define and achieve success metrics. Anticipate and mitigate risks, and always have a plan B. Take accountability for and learn from outcomes. Empower Execution: Take action to drive desired outcomes. Act with initiative, mastery, and purpose. Explore Fearlessly: Make swift, iterative progress through testing and learning, create a safe place to fail fast and learn from mistakes, and continuously improve. Value People: Appreciate and care about unique experiences and perspectives Respect the dignity of others and have empathy for people Authentically and meaningfully support and recognize people in real time. These traits form the bedrock of our commitment to caring deeply for each other, our customers, and our community. As you become a part of PEMCO, your contribution will further enrich our success story, where the power of these shared values propels us forward. Compensation: The pay range for this role is shown below. Compensation decisions are determined based on an individual's qualifications, job-related knowledge, skills, and experience. Greater Seattle area target pay range: $154,845-$189,255. The full pay range is $129,038-$215,063. Outside greater Seattle area target pay range: $136,654-$167,022. The full pay range is $113,879-$189,797. Greater Seattle Area is defined as working within approximately 100 miles of Seattle. Outside Greater Seattle is defined as working approximately 100 miles or more from Seattle. Benefits: Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. In addition, as a benefits-eligible employee, you are: covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages. eligible to participate in PEMCO's 401(k) plan which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums). PEMCO provides the following paid leave programs for benefits-eligible employees in their first year of PEMCO employment: Vacation accrues at a rate of 10 days for new hires, and increases based on a schedule to a maximum annual accrual of 25 days based on tenure. Granted four (4) personal days immediately upon hire. Paid holidays for the eight (8) holidays observed by PEMCO throughout the calendar year. Granted up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status), which is approximately 28 hours more per year than the Washington state-required accrual. In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community. Other miscellaneous benefit programs offered by PEMCO include: Flexible Spending Accounts Education Assistance Program after one year of service Scholarship program for children of PEMCO employees after one year of service Employee Assistance Program Well-being program Discretionary taxable gifts and gift cards And other Perks & Benefits including discounts on computer software and hardware, cell phone plans, and rental cars Other compensation depending on role, contributions, and performance may include: Discretionary bonuses Tiered sales commissions and/or incentives (from 5-25% of employee's monthly sales) Employee referral bonuses Shift differential pay Equal Employment Opportunity: At PEMCO, we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. PEMCO is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status. Applicants have rights under Federal Employment Laws: Family and Medical Leave Act (FMLA) Equal Employment Opportunity (EEO) Employee Polygraph Protection Act (EPPA)

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. 2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. 3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. 6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities. 8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes 4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment 5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications: 1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. Previous experience in the banking or fin-tech industry OTHER JOB REQUIREMENTS / WORKING CONDITIONS Sitting Constantly (More than 50% of the time) Visual / Audio / Speaking Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel Minimal and up to 10% General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Empire State Realty Trust, Inc. (NYSE: ESRT) is a NYC-focused REIT that owns and operates a portfolio of well-leased, top of tier, modernized, amenitized, and well-located office, retail, and multifamily assets. ESRT's flagship Empire State Building, the “World's Most Famous Building,” features its iconic Observatory, ranked the #1 Top Attraction in New York City for the fourth consecutive year in Tripadvisor's 2025 Travelers' Choice Awards: Best of the Best Things to Do. The Company is a recognized leader in energy efficiency and indoor environmental quality. As of September 30, 2025, ESRT's portfolio is comprised of approximately 7.8 million rentable square feet of office space, 0.8 million rentable square feet of retail space and 743 residential units. More information about Empire State Realty Trust can be found at esrtreit.com and by following ESRT on Facebook, Instagram, TikTok, X, and LinkedIn. The dedicated team at ESRT is a collection of diverse individuals with a shared passion for excellence and a keen eye toward future growth. Headquartered in New York City, we harness the energy of the city in everything we do. We care for one another, work hard, and have a lot of fun doing it! We are Certified™ as a Great Place to Work by the global authority, Great Place to Work , on workplace culture, employee experience, and leadership behaviors. We prioritize and invest in the health and wellness of employees to attract, develop, and retain top-tier talent. ESRT values continuous employee development and encourages colleagues to excel in their roles and adapt to emerging business needs. From our crown jewel, The Empire State Building, to incredible buildings modernized for the 21st century, to outstanding customer service, and our decade-long leadership position in sustainability and energy efficient portfolio that is 100% fully powered by renewable wind electricity, we take pride in our work. ESRT seeks an equally passionate colleague to join the team, understand the vision and help achieve that vision. POSITION SUMMARY The Lease Abstraction and Data Intern will support the Lease Administration team in managing a diverse commercial real estate portfolio by assisting with lease abstraction, data validation, and system maintenance. This role focuses on using AI-enabled tools to extract and organize key lease information, validating outputs for accuracy, and ensuring data is properly structured and maintained within Yardi. Working closely with the Lease Administration team, the intern will help improve the efficiency and accuracy of lease data workflows by refining AI-assisted processes, supporting data audits, and contributing to reporting and portfolio initiatives. The internship provides hands-on exposure to commercial real estate operations, lease administration systems, and the practical use of AI tools in a business environment. Full-time: 40 hours per week from June 1st, 2026, until August 7th, 2026.Location: Onsite at 111 W 33rd Street, New York, NY RESPONSIBILITIES Assist the Lease Administration team in reviewing, interpreting, and abstracting key business, financial, and legal terms from commercial leases using AI software Utilize AI tools to extract data from lease documents and PDFs, applying standardized prompts and workflows to ensure consistent and accurate outputs Collaborate with the team to refine prompts, workflows, and processes that improve the accuracy, efficiency, and usability of AI-generated lease data Input, update, and maintain lease information, documents, and key terms within Yardi Ensure data integrity by conducting routine audits and cross-checking entries against source documents Translate AI-extracted lease information into structured formats, including tables and data fields, for upload and maintenance within Yardi Support the monitoring and tracking of critical lease dates to help ensure timely notifications and compliance Assist in generating reports and maintaining dashboards to support visibility into upcoming milestones Participate in various portfolio-related initiatives, including data cleanup, process improvement efforts, and system enhancements aimed at improving operational efficiency Contribute to research, analysis, and documentation that support strategic decision-making within the real estate portfolio Provide general administrative support to the Lease Administration team as assigned REQUIRED SKILLS Ability to review documents and abstractions with a high degree of accuracy Capable of managing multiple tasks, deadlines, and critical dates within a dynamic real estate portfolio Strong computer skills with the ability to learn and navigate software platforms such as Yardi Comfortable working with AI-enabled tools and document-processing software to support data extraction, validation, and workflow efficiency Comfortable performing data audits and supporting report generation Strong data management skills, including organizing information into structured formats such as tables and system fields Excellent written and verbal communication skills Willingness to learn lease terminology, structures, and operational fundamentals of real estate portfolio management Ability to work collaboratively in a team environment EDUCATION & EXPERIENCE A Junior enrolled in a four-year or five-year undergraduate program in the graduating class of 2027 is preferred PHYSICAL REQUIREMENTS Prolonged periods of sitting at a desk and working on a computer Must be able to lift up to 15 pounds at times WHAT YOU CAN EXPECT At ESRT, like our tenants, our employees come from everywhere. We foster a collaborative work environment that captures top talent and cultivates the best ideas. As a Great Place to Work Certified employer, we are committed to maintaining our positive work culture where employees are engaged and can grow and develop. In addition, ESRT employees embody our Company Culture & Success Factors - Adaptable - you are a self-starter who's able to quickly digest and execute new processes to work both collaboratively and independently Dynamic - you are solutions-oriented, aim to improve processes and implement efficiency, and offer insightful feedback to improve ESRT Dependable - you take a strong sense of ownership and accountability over your work Passionate - you keep up with industry trends and are excited about the potential to propel the industry forward with a “roll-up-your-sleeves” attitude Curious - you consistently look for new ways to work smarter, not just harder Ethical - you treat others with respect, act with integrity in how you perform your work, and embrace our collaborative culture Positive - you possess a service-oriented attitude with excellent follow through WELL-BEING 40-hour work week, paid at a rate of $22.50 p/h A challenging, exciting, and meaningful 10-week experience Networking opportunities to get to know fellow interns and key leaders throughout ESRT An individual project to be presented to executive leadership Company sponsored lunches with leadership and outings Tour of the Empire State Building Observatory Summer Friday Early Release ESRT is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because they drive curiosity, innovation, and the success of our business. We do not discriminate based on race, religion, color, creed, national origin, sex, sexual orientation, gender identity or expression, reproductive choices, age, marital status, veteran status, disability status, pregnancy, parental status, caregiver status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. This policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination. Reasonable accommodations that do not create an undue hardship for the Company are available for applicants and employees with disabilities or sincerely held religious beliefs.

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.

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.

MBK Real Estate (MBK) is an industry leader in real estate operations and development. Through its subsidiaries, MBK Rental Living, MBK Industrial Properties and MBK Senior Living, MBK Real Estate is renowned for building award-winning new home and apartment communities, state-of-art distribution facilities and for its reputation in providing exceptional high standards of service throughout its senior living communities. MBK is a privately held real estate development firm with roots in the business dating back to 1996. MBK's extensive activities through its operating divisions, along with the size and scale of our development and building activities represent the continuation and commitment to American enterprise. Job Description MBK Real Estate is hiring a Data Engineer to join our team at our Home Office in Irvine, CA! This role will be hybrid with 3 days in office and 2 days remote. Job Summary: We are seeking a highly skilled Data Engineer with strong experience in Microsoft Azure, Microsoft Fabric, SQL, Python, and Power BI to help design, build, and optimize our cloud-based data ecosystem. This role will work closely with our data/business intelligence team to ensure scalable, reliable, and high-quality data solutions that support our enterprise data strategy. Supervisory Responsibilities: N/A Duties & Responsibilities: Design, build, and maintain cloud-native data pipelines using Azure Synapse and Microsoft Fabric. Develop and optimize ETL/ELT workflows for ingestion, transformation, and processing of large-scale datasets. Create and manage data models, warehouses, and lakehouse environments within Microsoft Fabric. Write high-performance SQL for data transformation, report automation, modeling, and analytics. Build reusable Python components for data processing, automation, and orchestration. Implement best practices for data quality, governance, observability, security, and performance tuning. Collaborate with data analysts and business teams to translate requirements into scalable solutions. Monitor, troubleshoot, and improve pipelines to ensure high availability and reliability. Contribute to cloud architecture, tooling selection, performance tuning, and overall platform modernization efforts. Salary: $120,000-$130,000 + Bonus **Candidates must be legally authorized to work in the United States. This position does not offer sponsorship now or in the future **We are not able to consider relocation candidates, and candidates will need to reside within a reasonably commutable distance for consideration Education Requirements: A bachelor's Degree in a computer science-related field is strongly preferred. Experience Requirements (in years): 5+ years of professional experience as a Data Engineer or similar role. Strong hands-on experience (3+ years) with Azure cloud services (e.g., Azure Synapse, Azure Data Lake Storage, Azure Functions preferred). Practical experience (1+ years) working with Microsoft Fabric (Data Factory, Lakehouse, Pipelines, Notebooks, and Power BI integration). Advanced proficiency (3+ years) in SQL (query optimization, performance tuning, complex joins, stored procedures). Strong Python programming skills (2+ years) for data processing, automation, and scripting. Required Competencies/Licenses/Certifications: Experience building scalable, production-grade data pipelines for structured and unstructured data. Understanding of data modeling, data warehousing concepts, and ELT/ETL patterns. Familiarity with CI/CD, Git-based workflows, and modern DevOps practices. Microsoft Suite competency. Strong problem-solving and analytical mindset. Excellent communication skills and ability to partner across technical and business teams. Detail-oriented, organized, and able to manage multiple priorities. Growth mindset and eagerness to work with emerging Azure/Fabric technologies. Preferred Qualifications Experience with Delta Lake, parquet, or similar big data file formats. Familiarity with Power BI, semantic models, and Fabric integrated analytics. Knowledge of Spark, Databricks, or distributed data processing. Exposure to data governance frameworks, metadata management, and lineage tools. Azure and/or certifications (e.g., DP-203, Azure Data Engineer Associate, DP-700, Fabric Data Engineer Associate). Physical Demands & Work Environment: Must be mobile and able to perform the physical requirements of the job, bending, kneeling, stooping, pushing, pulling and repetitive motion. Ability to sit and work at a computer for long periods of time. Able to move intermittently throughout the workday and between divisions. We offer a rich benefits package comprising of the following: competitive salaries with opportunities for growth; 401(k) retirement plan with up to 4% employer matching; comprehensive industry leading medical, dental and vision insurance; company-provided life, disability and AD&D insurance; flexible spending accounts, generous paid time off including vacation and sick time, holidays, and bereavement leave; and a variety of programs including leadership development, training, and personal coaching; education loan assistance and scholarships; daily living, financial and legal services; childcare and eldercare assistance; employee discounts; and health and wellness resources that include virtual yoga, mindfulness, and financial readiness for employees and their family members. If you are ready to meet the challenges of this critical role, we want to hear from you! MBK is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, genetic information, or other protected reason. Our company is committed to providing access, equal opportunity and reasonable accommodation for qualifying individuals in employment, its services, programs, and activities. To request reasonable accommodation, contact *************************. Regulatory Disclosures for Senior Living Communities with Medicaid Residents: An “Excluded Party” is a person that the federal or state government found not eligible to provide care and services in a facility that receives Medicare or Medicaid funding. If employed at one of our senior living communities that receives Medicare or Medicaid funding, team members must not be considered an “Excluded Party” as defined by the U.S. Department of Health and Human Services, any state Medicaid Programs, and any additional federal and state government contract programs. If, as a team member, you learn that you are an Excluded Party at any time, you must present your Excluded Party notice letter to your supervisor immediately. Other Regulatory Requirements: If employed at one of our senior living communities, team members must continually comply with certain laws and regulations that impact the company, including, but not limited to, as applicable, state licensing regulations, the Health Insurance Portability and Accountability Act of 1996 (HIPAA), Resident Rights as defined by the U.S. Department of Health and Human Services, and any other federal or state laws relating to team members' professional licenses. HIPAA Disclosure: All Team Members prior to commencing employment and once employed must not be considered an “Excluded Party” as defined by the Medicare and state Medicaid Programs as well as other federal and state government contract programs. If as an associate you learn you are an Excluded Party, you must present your Excluded Party notice letter to your supervisor immediately. An Excluded Party is a person that the federal or state government found not eligible to provide care and services in a Community that receives Medicare or Medicaid funding. In addition, at all times, during your employment, all associates must be in compliance with certain laws and regulations that affect the company, including but not limited to Resident Rights, HIPAA, State licensing regulations, and those laws relating you an associates' professional license.

Who is Boulevard? Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most. Before launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Our roots may be in hair salons, but we are built for the broader self-care industry, including many types of salons, spas, medspa, barbershops, and more. Our technology not only helps our customers survive but thrive. Take a look at how we (and YOU) can make that happen. We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication, and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most. Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too. Come do the best work of your life at Boulevard. We're looking for a Senior Data/ML Engineer to help shape the next generation of our data platform and customer-facing data products. In this role, you will design, build, and scale the core data and machine learning systems that power our business and product experiences. You'll collaborate closely with product, engineering, and cross-functional partners to tackle complex data challenges, develop impactful ML use cases, and create reliable, high-quality data solutions tailored to our customers' needs. What you'll do here: Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads. Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency. Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products. Implement data quality, observability, and governance frameworks to ensure reliable, well-managed data at scale. Document data flows, integration contracts, and operational runbooks to support efficient scaling and handoff. What you'll need to thrive: 5+ years of experience in data engineering, plus hands-on exposure to machine learning, MLOps, or backend workflow automation. Strong proficiency in SQL and Python, with experience using ML frameworks. Deep expertise in the modern data stack, including dbt, Snowflake, and Looker/Omni. Experience with Kafka or Flink is a plus. Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices. Broad knowledge of data governance, data quality, observability, and analytics/security best practices. Experience building products using LLMs, embeddings, and other ML technologies, including hands-on work with Snowflake Cortex for generative AI, recommendations, or forecasting. Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams. How we'll take care of you: Your starting total cash (base salary + bonus) compensation for this role is between $165,000 - $235,000 USD, depending on your current skills, experience, training, and overall market demands. This salary range is subject to change, and there is always room for growth and advancement. In addition to the wonderful people you'll get to work with and challenging projects that'll push you - Boulevard is here to make sure you're always at the top of your game emotionally, mentally, and physically. ✨ We've got you covered with a 401(k) match plus dental, medical, vision, and life insurance. 🏝 Take a break whenever you need with our flexible vacation day policy. 🖥 Fully remote so you can choose where you want to work. You'll receive a work from home stipend every month. 💚 Family planning resources and specialized support programs. 🔮 Equity: get ahead on the ground floor and grow with Boulevard. 💅 Boulevard Bucks Learning and Development program allows employees to explore businesses in the market we serve. 📲 We recommend following our official LinkedIn page to stay up to date on all things Boulevard life! Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

The Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies. This role will focus on developing scalable, reliable data pipelines that ensure the quality, accessibility, and performance of data used across all of Ryan. The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions. Some things you can expect to do: Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing services like BigQuery, Dataflow, and Cloud Storage to handle diverse data sources (e.g., project systems, safety logs, IoT/sensor data). Design and implement effective data models, including star schemas and dimensional modeling, to support business intelligence and analytics. Develop and manage data warehousing solutions to ensure efficient data storage, retrieval, and cost-effectiveness. Contribute to metadata management, data cataloging, and lineage tracking to enhance the discovery and transparency of enterprise data assets. Design and orchestrate robust ETL/ELT processes and data integration workflows using tools like Cloud Composer or Apache Airflow. Implement and manage both batch and real-time data streaming pipelines to ensure timely and accurate data availability for downstream applications. Write clean, efficient, and well-documented Python and SQL code to process and transform large, complex datasets. Monitor, troubleshoot, and optimize data pipeline performance, identifying and resolving bottlenecks to improve efficiency and scalability. Implement and maintain data quality frameworks to ensure the accuracy, consistency, and reliability of data across all systems. Develop and implement data validation and testing procedures to maintain the highest standards of data integrity. Establish and enforce data governance policies and best practices, ensuring all data handling is secure, private, and compliant with regulations. Build and maintain CI/CD pipelines for the automated testing and deployment of data engineering workflows. Support the deployment and monitoring of machine learning models by implementing reproducible and traceable data environments. Partner with DevOps and Technology teams to automate infrastructure provisioning, CI/CD processes, and data quality monitoring. Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to understand data needs, design technical solutions, and translate business requirements into architectural designs. Lead the implementation of data solutions, from discovery and design through to deployment. Provide mentorship and guidance to other data engineers, fostering a culture of knowledge sharing and continuous improvement. Create and maintain clear documentation for architecture, schemas, and pipeline workflows to support team knowledge and onboarding. To be successful in this role you must have: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field. 5+ years of professional experience in data engineering or a similar role. Strong programming skills in Python, SQL, with experience using tools such as Cloud Composer. Proven experience designing and maintaining data pipelines using platforms such as GCP, AWS, Azure or similar. Experience building data infrastructure and services in cloud-native environments (GCP preferred, with exposure to AWS). Familiarity with MLOps or experience supporting machine learning pipelines in production environments. Exposure to domain-driven architecture. Strong collaboration and communication skills with a track record of partnering across functions to deliver high-impact solutions. Compensation: The base pay range is $111,500 - $139,400/Annually. The salary may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program. Eligibility: Position requires verification of employment to work in the U.S. Benefits: Competitive Salary Medical, Dental and Vision Benefits Retirement and Savings Benefits Flexible Spending and Health Savings Accounts Life Insurance Short-Term and Long-Term Disability Educational Assistance Paid Time Off (PTO) Employee Assistance and Wellness Programs Parenting Benefits Employee Discount Programs Pet insurance Ryan Foundation - charitable matching funds Paid Time for Volunteer Events Disclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document. Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Non-Solicitation Notice to Recruitment Agencies: Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.

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.