Manager, Data Science
The Voleon Group
AirflowLinuxPandasSQLUnix
Data Scientist, Technical Lead
The Voleon Group
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $195,000 - $225,000 per year
Job Level
Senior
Tech Stack
AirflowLinuxPandasSQLUnix
About the role
- Provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems.
- Shape analytical frameworks, ensure methodological rigor, and deliver insights that inform business and research decisions.
- 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.
- Preferred: Experience building or growing high-performing data science teams in production-aware or high-stakes settings.
- Preferred: Exposure to financial markets, trading systems, or quantitative research environments.
- Preferred: Familiarity with production monitoring systems, data quality pipelines, or analytics platform development.
- Preferred: 7+ years of experience managing data scientists; experience managing a large team or multiple teams.
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