Nava · 1 week ago
Senior Data Scientist
Nava is a consultancy and public benefit corporation focused on enhancing government services. The Data Scientist will leverage data to generate insights, build predictive models, and inform decisions aimed at improving program outcomes and public services.
AppsCloud Data ServicesComputerGovernmentGovTechSoftwareWeb Development
Responsibilities
Work with program, product, engineering, and policy teams to identify high-impact questions and turn them into data-driven analysis
Build, evaluate, and deploy predictive models that help forecast trends, improve service delivery, and inform policy decisions
Build and maintain data pipelines and models that support analytics and operational reporting
Develop data workflows and algorithms for cleaning, transforming, and validating data from multiple sources
Design metrics, dashboards, and experiments to measure outcomes and program performance
Apply statistical and machine learning methods to analyze complex datasets and inform product and policy design
Work closely with subject matter experts to understand data and perform quality control
Qualification
Required
Experience with Python for data analysis, modeling, and visualization
Strong SQL skills and familiarity with relational databases (e.g., Postgres, MySQL)
Hands-on experience developing predictive or statistical models using techniques such as regression, classification, clustering, or time-series forecasting
Experience building or maintaining ETL/ELT pipelines and working with messy, real-world datasets
Understanding of data validation, model evaluation, and experiment design
Ability to translate data findings into actionable recommendations
Awareness of privacy, security, and responsible data practices
Legal authorization to work in the United States
Ability to meet any other requirements for government contracts for which candidates are hired
Work authorization that doesn't require visa sponsorship, now or in the future
May be subject to a government background check or security clearance, depending on the contract
Preferred
Experience with LLMs and generative AI systems
Benefits
Health coverage — comprehensive medical, dental, and vision plans to support your overall health needs
Insurance coverage — Nava provides disability, life, and accidental death insurance at no cost
Time off — vacation, holidays (including Juneteenth), and floating holidays to rest and recharge
Company holidays — enjoy 12 paid federal holidays each year on top of your regular PTO
Annual bonus — when Nava meets its goals, eligible employees receive a performance-based annual bonus
Parental leave — paid time off for new parents, plus weekly meals delivered to your home
Wellness program — full platform offering physical, mental, & emotional health resources & support tools
Virtual care — see doctors online with no copay through UnitedHealthcare’s virtual visit program
Sabbatical leave — earn extended unpaid leave after continuous service for personal growth or rest
401(k) match — Nava matches 4% of your salary to support your retirement savings plan
Flexible work — remote-first environment with flexibility built around your schedule and responsibilities
Home office setup — company laptop & setup assistance provided via Staples for remote work needs
Utility support — monthly reimbursement to help offset eligible home office utility expenses
Learning opportunities — internal training programs and resources to help grow your professional skills
Development opportunities — LinkedIn Learning access & an annual allowance for courses, tuition, & certs
Referral bonus — get rewarded when you refer great people who join the Nava team
Commuter benefits — pre-tax commuter programs to support in-office travel when applicable
Supportive culture — A collaborative and remote-friendly team environment where people genuinely care
Company
Nava
Nava is a consultancy and public benefit corporation that makes government services simple, effective, and accessible to all.
Funding
Current Stage
Late StageRecent News
Washington Technology
2025-03-14
2024-05-23
2024-04-29
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