Data Scientist

Flexion • Madison, WI

5d • $145,000 - $165,000 • Remote

About The Position

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.

At Flexion (an agile software company that’s been delivering excellence for over 25 years), our company culture is built on autonomy, trust, and transparency. We empower teams to remain self-sufficient and self-directed by hiring people who can solve complex problems through collaboration—this means lending a hand and flexing your multi-skilled muscles as needed. Every member of a cross-functional team is a leader who takes responsibility for the entire team’s success, mirroring the company’s overall low-bureaucracy structure.

We believe that growth comes from working together—and that includes supporting each other through thoughtful, constructive feedback. Flexion team members are expected to help each other grow, challenge ideas respectfully, and integrate feedback as a normal part of the workday.

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

You can deliver in small pieces as you go, while still thinking about how they fit into the whole. You welcome change as a positive (instead of viewing it as “rework”) and never consider anything you deliver “final.” Although you understand that what you deliver may not be complete, you never knowingly deliver something that is wrong or of poor quality. You actively contribute to a learning team culture, offering and receiving feedback with curiosity and respect.

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• 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

Benefits

• employees enjoy comprehensive health, dental, and vision coverage, along with life and disability insurance, flexible spending accounts, and a 401(k) plan.
• generous paid time off, referral bonuses, and a commitment to well-being and career success.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees