Senior Data Scientist

Summary

Join Voleon, a leading technology company in finance, and become a Senior Data Scientist. You will be responsible for extracting insights from complex data, mentoring junior data scientists, designing analytical systems, and communicating findings to stakeholders. This role requires 4+ years of experience with complex datasets, statistical analysis, and data visualization tools like SQL, Pandas, and R. A Bachelor's and Master's degree in a quantitative field is required. Voleon offers a competitive compensation package, including a base salary of $190,000-$230,000, comprehensive benefits, and a collaborative work environment. The company values a healthy work-life balance and encourages creativity and curiosity. This position offers the opportunity to make a significant impact on a multibillion-dollar asset manager.

Requirements

• 4+ 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

Benefits

• Medical, dental, and vision coverage
• Life and AD&D insurance
• 20 days of paid time off
• Nine sick days
• A 401(k) plan with a company match