46 applicants

Company

Original Job Post

The Voleon Group · 2 days ago

Senior Data Scientist

Berkeley, CA

Full-time

Hybrid

Senior Level

$190K/yr - $230K/yr

2+ years exp

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Financial ServicesVenture Capital

Comp. & Benefits

Insider Connection @The Voleon Group

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Lead the technical efforts of a team of Data Scientists (DS)

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, directing DS team members to investigate and rationalize this behavior, and then communicate results clearly to relevant stakeholders

Design analysis pipelines that automate those analyses found to be valuable for ongoing monitoring, overseeing their implementation, and successful deployment

Cultivate in the DS team some expertise in financial and statistical analysis to gain actionable insights into our production trading and research systems

Qualification

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SQLPandasRStatistical AnalysisData VisualizationData AnalysisSoftware DevelopmentUnixGitProblem-SolvingLeadershipCommunicationFinanceFinancial EngineeringProduction Environment DevelopmentCI/CDAirflow

Required

2+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization

Experience in leading the efforts of a team of technical contributors

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 degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)

Preferred

Master’s degree or Ph.D. in a quantitative discipline

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