Data Science Manager, Medicaid Programs

For People

7d•$150,000 - $165,000•Remote

About The Position

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.

Requirements

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
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.

Nice To Haves

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

Responsibilities

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