Data Science Supervisor - Hybrid, LA

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

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.