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Senior Data Scientist
| Company | The Voleon Group |
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| Location | Berkeley, CA, USA |
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| Salary | $190000 – $230000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- 3+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization
- Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions
- Ability to frame and answer questions quantitatively
- Ability to infer useful forward-looking directions from results of retrospective analysis
- Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R
- Basic software development tooling skills, including bash, Unix, and git
- Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication
- Bachelor’s and Master’s degrees in quantitative disciplines (statistics, biostatistics, data science, computer science, or a related field)
Responsibilities
- Work closely with Technical Product Owners to prioritize high-level needs around analytics and insight extraction, proceeding autonomously with implementation details
- Proactively identify abnormal production behavior, investigate and rationalize this behavior, and/or guiding other Data Scientists to do so
- Communicate results of investigations clearly to relevant stakeholders, with actionable insights clearly highlighted and prioritized
- Design analysis pipelines that automate those analyses found to be valuable for ongoing monitoring, overseeing their implementation, and successful deployment
- Guide and manage the technical efforts of other Data Scientists
- Cultivate in yourself and other Data Scientists some expertise in financial and statistical analysis to gain actionable insights into our production trading and research systems
Preferred Qualifications
- Experience leading the efforts of a team of technical contributors
- Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships
- Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow
