Data Scientist Supervisor

Quick Facts

• Role: Data Scientist Supervisor

• Contract: 12 months, contract-to-hire (on-merit)

• Work model: Hybrid

• Location: Los Angeles, CA 90012

Description

Lead data science and engineering-adjacent work by supervising data scientists and analysts and directing ETL, backend pipelines, and cloud data environments (e.g., Databricks). Own technical and code-level documentation, co-lead system documentation and ETL business logic, and guide data security implementation plus QA/unit testing/code integrity. Apply machine learning and statistical/hypothesis-testing expertise to deliver technical outcomes while collaborating with engineering and driving Agile/Scrum execution.

Responsibilities

• Supervise and review work products of data scientists and analysts alongside engineering

• Advise on complex relational database buildouts and lead when the strategic path forward is ambiguous

• Act as Lead for ETL, backend pipelines, and cloud environments (e.g., Databricks)

• Own technical/code documentation; co-lead system documentation, API layouts, and ETL business logic

• Lead data security implementation and Quality Assurance (unit testing and code integrity protocols)

• Apply supervised/unsupervised ML, statistical analysis, and hypothesis testing

• Drive Agile/Scrum delivery: consult on technical feasibility, sprint planning, daily stand-ups, manage blockers, and commit to deliverables

Requirements

• 6+ years of data science experience

• 3+ years supervising a team of data science professionals as subject matter experts and coordinating complex data science projects for program/policy/operational decision-making

• Master’s degree in a relevant applied research field (Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health) may substitute for 2 years of qualifying experience

Benefits

• 12-month contract with contract-to-hire (on-merit)