# Data Scientist

**Company:** [The Voleon Group](https://hotfix.jobs/companies/voleon)
**Location:** Berkeley, CA, New York, NY
**Role:** Data Science
**Experience:** 1+ years
**Skills:** SQL, pandas, R, Bash, Git, Linux, Statistics, Data Visualization, Airflow, CI/CD
**Posted:** 2026-04-17

> Analyzes complex financial datasets to derive actionable insights for trading systems, monitors data health, and communicates findings to leadership. Requires 1+ years experience with SQL, Pandas, R, statistics, and a quantitative bachelor's degree.

## Job Description

## Responsibilities
- Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds
- Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders
- Perform extemporaneous analyses on research and production trading systems with leadership
- Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems
- Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring

## Requirements
- 1+ 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 mathematically
- 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 skills and experience with **bash**, **linux/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 Qualifications
- **Master’s degree** 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**

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