Data Scientist, Technical Lead

The Voleon Group; Berkeley (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

The Voleon Group, based in Berkeley, California, seeks a Technical Lead in Data Science to guide design and implementation of analytical systems. The role involves mentoring data scientists, collaborating with technical teams, and setting standards for data quality. Required qualifications include a Master’s degree in a quantitative field, 3+ years of management experience, and a strong understanding of data science fundamentals. Preferred qualifications include experience in financial markets and familiarity with production systems. Join a leading asset manager at the forefront of AI/ML applications in finance.

Qualifications

• 3+ years of experience managing data scientists.
• Strong understanding of data science fundamentals and statistical analysis.
• Experience with data tooling and software development.

Responsibilities

• Collaborate with Technical Product Owners to define project scope.
• Own investigations of complex production behaviors.
• Mentor and manage junior and mid-level data scientists.
• Lead the design and deployment of analytical pipelines.
• Champion best practices in data governance and tooling.

Skills

Data science fundamentals

Statistical analysis

Leadership in data science teams

SQL

Pandas

R

Airflow

Bash

Git

Education

Master’s degree or higher in a quantitative field

Job description

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists.

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.

Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.