Senior Data Scientist

Berkeley, California

Epiphany Resource Group

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

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)

Preferred

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

Date Posted: 06 May 2025