[Hiring] Data Scientist @Flexion

Role Description

We’re looking for a Data Scientist with an unwavering passion for designing meaningful, easy-to-use applications. Most of the work we do is on large-scale, enterprise-wide systems (both commercial and government)—in this position, you and your team will collaborate with federal partners to streamline reporting processes and enhance operational efficiency.

You’ll be part of a multi-disciplinary, agile application development team tasked with maintaining and improving a Data Warehouse to streamline reporting.

• Work in an agile environment, contributing to incremental delivery and continuous improvement.
• Serve as the primary responsive point of contact for triaging data requests that require additional work or quick answers for Login.gov.
• Collaborate with DevSecOps and Data Engineers to ensure data pipelines support analytical and modeling needs.
• Partner with product owners and stakeholders to define analytical questions and translate them into data-driven solutions.
• Integrate, transform, and analyze data to produce accurate dimensional models and efficient transformations for consistent reporting and analysis.
• Develop and validate models (e.g., regression, classification) to meet reporting needs and generate predictive insights.
• Apply statistical methods and data science techniques to evaluate system performance and inform decision-making.
• Apply machine learning techniques to detect anomalies and identify fraudulent patterns in data.
• Design metrics, experiments, and analytical approaches to measure outcomes, find anomalies, uncover trends, and produce actionable insights.
• Communicate findings clearly to stakeholders through regular demos, visualizations, presentations, and written summaries.
• Tackle a wide variety of analytical and technical problems and exercise your full tool-belt of skills.

Qualifications

• 15+ years of experience in data science, analytics, or a related field.
• A bachelor’s degree (or higher) in a quantitative field (e.g., statistics, mathematics, computer science, data science).
• Self-motivated with strong communication and collaboration skills, including the ability to explain complex analyses to non-technical audiences.
• Experience using Python for data analysis and modeling, with familiarity with data transformation tools such as dbt.
• Experience working with data warehouses and cloud platforms (AWS preferred; Redshift and Databricks a plus).
• Strong problem-solving skills with the ability to derive insights from ambiguous and imperfect data.
• Advanced SQL skills and experience working with large datasets that need efficient transformations to support operational reporting.
• Experience applying statistical methods and building analytical or predictive models (e.g., regression, classification, clustering).
• Experience working in agile environments.
• Experience working in Data Governance and privacy-related projects.

Requirements

• Experience with data visualization tools or libraries, such as Amazon QuickSuite.
• Experience working with government or regulated data environments.
• Experience with a basic knowledge of Ruby, since it is used at Login for reporting.

Benefits

• Comprehensive health, dental, and vision coverage.
• Life and disability insurance.
• Flexible spending accounts.
• 401(k) plan.
• Generous paid time off.
• Referral bonuses.
• Commitment to well-being and career success.