# Data Scientist, Technical Lead

**Company:** [The Voleon Group](https://hotfix.jobs/companies/voleon)
**Location:** Berkeley, CA
**Role:** Data Science
**Experience:** 3+ years
**Skills:** SQL, pandas, R, Airflow, Git, Bash, Linux, Unix, Statistical Analysis, CI/CD
**Posted:** 2026-04-17

> Leads a team of data scientists on analytical systems for trading and research, providing technical direction, mentoring, and developing monitoring pipelines. Requires Master's degree, 3+ years managing data scientists, and expertise in data tooling and statistical methods.

## Job Description

## Responsibilities
- 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 Qualifications
- Experience building or growing high-performing data science teams in production-aware or high-stakes settings.
- Exposure to financial markets, trading systems, or quantitative research environments.
- Familiarity with production monitoring systems, data quality pipelines, or analytics platform development.
- 7+ years of experience managing data scientists.
- Experience managing a large team or multiple teams.

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