• work closely with nybl to identify issues and use data to propose solutions for effective decision making • build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation • use machine learning tools and statistical techniques to produce solutions to problems • test data mining models to select the most appropriate ones for use on a project • maintain clear and coherent communication, both verbal and written, to understand data needs and report results • create clear reports that tell compelling stories about how customers or clients work with the business • assess the effectiveness of data sources and data-gathering techniques and improve data collection methods • horizon scan to stay up to date with the latest technology, techniques and methods • conduct research from which you'll develop prototypes and proof of concepts • stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Own and develop producer-level economic and behavioral datasets that power product development, analytics, and AI systems. • Collect, clean, normalize, and structure producer economic data, including: • Financial statements and ratios • Business structure and management indicators • Demographic and enterprise characteristics • Platform usage and engagement signals • Build and maintain scalable data pipelines for analytics and modeling. • Enforce data quality standards, validation rules, and documentation. • Apply statistical and econometric methods to: • Identify patterns in producer decision-making • Measure risk awareness, adoption behavior, and planning discipline • Quantify relationships between financial behavior and outcomes • Develop producer segmentation, scoring, and benchmarking frameworks. • Monitor trends and anomalies across producer populations. • Design, administer, and analyze statistically sound producer surveys. • Convert survey responses into structured behavioral variables. • Integrate primary survey data into core analytical datasets. • Ensure sampling, weighting, and bias mitigation meet applied-economics standards. • Deliver clear, data-driven insights to the VP of Product and product teams. • Build repeatable reports, dashboards, and documentation. • Ensure analytical conclusions are traceable to well-defined data sources.

For People is a team of skilled technologists improving government digital services for disadvantaged and vulnerable populations. We embed directly in government agencies to modernize software, systems, and platforms so that they better serve people. Your Impact As the Data Science Manager for our Medicaid programs, you will directly influence the quality of care for millions of vulnerable Americans. By nurturing a guild of data scientists and serving as the hands-on technical anchor for one of our data science programs, you will transform fragmented healthcare data into actionable insights for our government partners. Ultimately, your leadership and technical stewardship will bridge the gap between public health policy and data engineering, strengthening the integrity of our nation's Medicaid program and helping the most vulnerable populations. Our Culture For People is a team of humans. We place a significant amount of emphasis on positive work-life balance, setting healthy expectations, and making sure our loved ones are taken care of first. That means picking a child up from school during the day or going for a mid-day walk is okay! This position is 100% remote. Our entire team is remote across the United States, from the West Coast to the East Coast. There will never be a return-to-office, as we have none! This position's published base salary range is between $150,000 and $165,000 annually, plus generous benefits (e.g., For People pays 100% of Gold-tier employee health insurance premiums) and annual company profit sharing. Your Opportunities At For People, you will: - Lead, mentor, and grow a team of 5-10 data scientists by setting clear expectations, providing regular feedback, championing professional development, and fostering a collaborative guild culture - Act as the daily technical lead for a smaller Medicaid data science program with 2 other data scientists by removing blockers, managing timelines, prioritizing sprint work, and ensuring the team hits critical project milestones - Guide the technical direction of data science workstreams, ensuring the team delivers scalable, high-quality, well-documented, and testable code - Design, write, and review SQL queries, Python scripts, and PySpark data transformations to extract and manipulate government Medicaid datasets - Partner with Data Engineering teams to coordinate the build, testing, and deployment of automated ETL data pipelines within an AWS-hosted Databricks lakehouse environment - Act as the primary technical point of contact for business analysts, internal leadership, and government stakeholders - Develop and present reporting mechanisms that provide actionable insights back to the client and internal leadership You Bring - A humble and caring attitude aligning with For People’s values– how we work with passion, fun, curiosity and sustainability, humility and respect - 8+ years of hands-on experience as a data scientist or data engineering professional, with at least 2 years operating in a people management, practice lead, or technical lead capacity - Direct experience working with health insurance data, such as Medicaid/Medicare claims or similar health datasets - Expert-level proficiency in SQL for querying large datasets, alongside strong Python and PySpark programming skills for advanced data analysis, transformation, and automation - Hands-on data engineering experience working within Databricks and modern cloud platforms to build and manage data pipelines - Familiarity with modern software engineering practices, including Git version control, code reviews, and CI/CD pipelines - Proven ability to create highly detailed technical documentation - Excellent communication skills with a demonstrated ability to translate complex technical concepts for non-technical stakeholders, including government clients The following elements are not required, but nice to have: - Experience building dashboards and visualizations using BI tools such as PowerBI, AWS QuickSight, or Tableau. - Strong foundational understanding of data warehousing principles, ETL design, and data structure/modeling best practices Additional Details You will be working on a United States government platform, and they have a few basic requirements for contractors like ourselves. You must perform all work physically within the United States at all times. In addition, you must be a United States citizen and be able to pass a government-performed public trust background check. For People is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, and/or veteran status.

• Develop and implement machine learning models to estimate student dropout probability. • Create fraud prevention workflows for financial transactions. • Work end-to-end from data extraction and processing in the Data Lake to deploying models in production. • Translate complex insights into dashboards and reports for public-sector managers. • Document developed solutions and assist with monitoring.