Lead Data Scientist, Government Data Strategy

Profile

Job title: Lead Data Scientist, Government Data Strategy

Company: For People

Location: Arlington, VA

Salary Type: Y

Expected salary: $120000 – 150000 per year

Min Salary: 120000

Max Salary: 150000

Job date: Fri, 16 Aug 2024 23:15:24 GMT

Date Posted: Fri, 16 Aug 2024 23:15:24 GMT

Job description:
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 ImpactAs a Lead Data Scientist at For People, you will play a pivotal role in the digital transformation of federal government services. You will be the technical lead of a team of professionals dedicated to optimizing data processes, enhancing data analytics capabilities, and building robust data governance frameworks to improve the efficiency and effectiveness of Medicaid programs throughout the country. This new project will transform how the Centers for Medicare and Medicaid Services (CMS) leverages data to drive informed policy decisions, streamline workflows, and ultimately improve health outcomes for beneficiaries.Our CultureFor 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!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 $120,000 and $150,000 annually plus generous benefits (e.g., For People pays 100% of Gold-tier employee health insurance premiums) and annual company profit sharing.Your OpportunitiesOn this project, you will be the technical lead on a small, agile team working on Medicaid data strategy implementation and operational efficiency. As a Lead Data Scientist, you will:

  • Lead the analysis and interpretation of complex Medicaid data sets
  • Develop and implement data analytics solutions to provide actionable insights for policy decisions and operational efficiencies
  • Collaborate with cross-functional teams to define data requirements and establish data collection, analysis, and reporting standards
  • Design and build data models, dashboards, and visualizations
  • Ensure data accuracy and integrity through data validation and quality control
  • Mentor and guide a team of three other data analysts
  • Present complex data findings to non-technical stakeholders, translating insights into clear, actionable recommendations

You Bring

  • A humble and caring attitude aligning with For People’s values – how we work with passion, fun, curiosity, sustainability, humility, and respect
  • 7+ years of relevant experience in data analysis, data modeling, or similar, with a preferred focus on healthcare data
  • Proven experience leading data analytics projects and managing a team of data analysts
  • Strong proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS
  • Experience with data visualization tools such as AWS Quicksight or similar
  • Excellent analytical, problem-solving, and critical-thinking skills
  • Strong communication and interpersonal skills

If you’re passionate about modernizing government and ready to make Medicaid data more accessible, accurate, timely, and secure, we encourage you to apply.Some fine print. 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.Powered by JazzHR

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