Data Scientist Supervisor

EPITEC; Los Angeles (CA); Hybrid; USD 64,000 - 91,000; Full time

Job summary

EPITEC in Los Angeles is seeking a Data Scientist Supervisor for a 1-year hybrid contract. You will lead a team of data scientists, guide analytics projects, and stay hands-on with modern data platforms and engineering practices.

You will supervise, mentor, and coordinate complex initiatives, lead ETL and cloud environments (Databricks), ensure code quality and security, apply ML and statistics to public sector problems, and participate in Agile/Scrum workflows.

Qualifications

• 6+ years in data science, including 3+ years supervising data science teams.
• Hands-on Python, R, and SQL development.
• Experience with ML methods, statistics, and hypothesis testing.
• Proficiency with Pandas, NumPy, and scikit-learn.
• Experience with Spark and Hadoop.
• Docker/Flask deployment and cloud platforms (AWS/Azure).
• Strong data visualization with Tableau/Power BI.

Responsibilities

• Supervise data scientists and analysts on complex analytics projects.
• Lead ETL, backend pipelines, and Databricks cloud environments.
• Drive documentation, API layouts, and ETL business logic.
• Own QA practices including unit testing and code integrity.
• Lead data security implementation from a technical standpoint.
• Apply ML and statistical methods to real-world problems.
• Participate in Agile/Scrum workflows and sprint ceremonies.

Skills

Python

R

SQL

Machine learning

Statistics

Hypothesis testing

Data visualization

Tools

Pandas

NumPy

scikit-learn

Apache Spark

Hadoop

Docker

Flask

AWS

Azure

Databricks

Tableau

Power BI

Job description

Location: Los Angeles, California

Work Arrangement: Hybrid

Contract Duration: 1-year, with possible extension, W2

Pay: $56.00/hr

Bring your data science leadership to a mission-driven public sector environment. In this role, you’ll guide a team delivering advanced analytics and machine learning that support program, policy, and operational decision-making, while also staying hands-on with modern data platforms and engineering practices.

Overview

We’re seeking a Data Scientist Supervisor to serve as both a technical and people leader. You’ll supervise data science professionals, lead complex projects where the path forward may be ambiguous, and partner closely with engineering to review work products and drive high-quality delivery. This is a temporary contract assignment based in Los Angeles, CA (Hybrid).

Key Responsibilities

• Supervise and mentor a team of data scientists and analysts while coordinating complex analytics initiatives.
• Lead ETL, backend pipelines, and cloud environments (including Databricks).
• Drive technical and code-level documentation; co‑lead system documentation, API layouts, and ETL business logic.
• Own quality assurance practices, including unit testing and code integrity protocols.
• Lead data security implementation from a technical standpoint.
• Apply machine learning (supervised/unsupervised) and statistical methods to real-world problems.
• Participate in Agile/Scrum workflows, supporting sprint planning, daily stand‑ups, blocker removal, and delivery commitments.

Must‑Have Qualifications

• 6+ years of experience, including 3+ years supervising data science professionals and overseeing complex data science projects.
• Hands‑on expertise with Python, R, and SQL.
• Experience with machine learning (regression, classification, clustering, dimensionality reduction), statistical analysis, and hypothesis testing.
• Proficiency with tools such as Pandas, NumPy, scikit‑learn.
• Experience with big data frameworks such as Apache Spark and/or Hadoop.
• Experience deploying models using Docker and/or Flask and/or cloud platforms (AWS, Azure).
• Strong data visualization skills (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Livescan required.

Nice‑to‑Have

• Strong background in data engineering practices, pipeline design, and data warehousing.
• Prior experience acting as a technical lead for documentation, QA, and security implementation.