Data Scientist - Govwell : Job Details

About GovWell We the people (and the taxpayers) deserve good government - but today, interacting with government services is often frustrating and inefficient. GovWell is building the AI-powered platform that transforms how governments serve communities, starting with local agencies. Our first product helps municipal and county governments modernize by automating complex processes like permitting and licensing, while streamlining services for residents. It combines a highly configurable SaaS system of record with generative AI that automates workflows, guides residents through government systems, and is radically simple to implement and maintain. Founded in 2023, GovWell already powers critical workflows for agencies in 27 states, serving millions of residents. We've raised $9.5M in seed funding from Work-Bench and Bienville Capital. Read more about our founding story in TechCrunch. Role overview GovWell is hiring a Data Scientist to play a critical role in how governments transition to modern systems. You'll sit at the intersection of data engineering, analytics, and customer experience - leading migrations from legacy software, building scalable data workflows, and ensuring that agencies can quickly unlock value from GovWell's platform. This role reports directly to Ben Cohen, Co-Founder and CTO, and offers the chance to shape the foundations of GovWell's data function while working closely with Product, Engineering, and Deployment teams. We have a hybrid work culture that combines regular in-person collaboration at our New York City office (3+ days per week) with flexibility to work remotely. ☀ Why GovWell?

• A mission that matters: Building AI-powered products to fix outdated government systems isn't just a technical challenge-it's a historic opportunity to improve our foundational relationship with government and ensure trillions of tax dollars result in high quality services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaire
• Real-world impact: GovWell's product is the system of record for government services that affect millions of Americans. From streamlining permitting for small businesses to accelerating affordable housing development, your work will make an immediate difference.
• Join a startup in hyper-growth: We've found product-market fit and are scaling the business very quickly (6X ARR growth in the last year). As an early team member, you'll learn what it takes to build a successful startup. You'll work closely with the founders while enjoying exceptional autonomy and ownership over your work

What you'll do

• Lead high-impact customer data migrations, ensuring smooth, accurate transitions from legacy systems into GovWell's modern platform.
• Build and maintain scalable data onboarding workflows using Python, SQL, and tools like Airflow and Hex to automate transformation, validation, and loading.
• Collaborate with Product, Engineering, and Deployment teams to design and improve data processes that accelerate customer onboarding and adoption.
• Partner directly with government staff to understand their data models, map schemas, and resolve edge cases that impact migration success.
• Develop internal tools and templates that standardize and speed up data migration as GovWell scales.
• Contribute to post-migration analytics by ensuring clean, structured datasets are available for reporting and decision-making.

Who you are

• 3+ years of experience in data science, analytics, or data engineering, ideally in SaaS or B2B environments
• Proficient in SQL and Python, with experience designing ETL/ELT pipelines (Airflow a plus) and working with large, messy datasets
• Strong grasp of data validation, transformation, and QA, able to turn ambiguous challenges into clear, repeatable workflows
• Comfortable collaborating with customers and cross-functional teams, translating complex findings into plain language
• Detail-oriented, outcome-driven, and motivated by the impact that clean, reliable data has on solving real problems

Meet the team

• Ben Cohen, Co-Founder and CTO.
  • Ex-Uber, Amazon, and UIPath.
  • BA summa cum laude Computer Science, Princeton University.
• Amy Wang, Data engineering and data migrations.
  • Previously Data Platform Engineer at Replica (Series B)
  • BS Univ. of Washington, MEng Cornell Tech
• Portia Wilson, Data scientist
  • Previously data analyst at CompStak, Solutions Analyst at Vitech Systems
  • BA Math & Economics, Lafayette College, MS Data Science Stevens Institute of Technology
• Richard Le, Full-stack engineering.
  • Ex-Microsoft, 6 years experience on Business Applications AI team.
  • BA summa cum laude Computer Science, UNC Chapel Hill.
• Eric Gratta, Front-end focus.
  • Early engineer at Silo (Series B), previously at Epic Systems
  • BA & MS summa cum laude in Computer Science & Music, Univ. of Pittsburgh.
• Nick Vollmar, DevOps and infrastructure.
  • 10 years experience, Ex-Cloudflare and Esper (Series A GovTech)
  • BA Math & Computer Science, Rice University

Our tech stack

• Airflow - for managing data migration pipelines
• PostgreSQL - our core database
• Python + SQL - your core languages
• Hex - your general-purpose data tool for loading, transforming, and QAing data
• RedwoodJS, GraphQL, TypeScript, AWS - the broader software engineering environment you'll interact with

Compensation and benefits Compensation within the posted salary band will be commensurate with experience. All offers will include:

• Competitive base salary.
• Equity / stock options.
• Medical, dental, and vision insurance.
• 401(k) program.