Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders.
Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies.
Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects.
Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility.
Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness.
Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews).
Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation.

Requirements

Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training.
3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution.
Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery.
Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas.
Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively.
Basic software development skills and experience with bash, linux/unix, and git
Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations.
Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments.

Benefits

“Friends of Voleon” Candidate Referral Program
Equal Opportunity Employer

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencestatistical analysisdata preparationroot cause investigationanalytical pipelinesdata governanceCI/CDversion controlperformance developmentscalable methodologies

Soft Skills

mentoringleadershipcollaborationcommunicationcuriosityteam growthproject executionanalytical thinkingproblem-solvingstakeholder engagement

Certifications

Master’s degreeMBA with analytical training