Data Scientist, Analytics Strategy

Los Angeles Lakers ? ??; El Segundo (CA); On-site; USD 100,000 - 115,000; Full time

Job summary

The Los Angeles Lakers, located in El Segundo, California, are hiring a Data Scientist in Analytics Strategy to develop predictive models and advanced analytics supporting player evaluation, recruitment, roster construction and basketball strategy. This role is full-time and office-based.

Working within Basketball Operations, you will turn complex data into actionable insights for decision-makers, collaborating with software development and data engineering teams to deploy analytics solutions.

Qualifications

• 3+ years in data science or machine learning.
• Degree in Statistics, Computer Science or a related field, or equivalent experience.
• Strong Python, SQL and machine learning skills.
• Experience with scikit-learn, TensorFlow or PyMC.
• Knowledge of cloud computing, Git and large-scale data processing.

Responsibilities

• Develop predictive models using statistical analysis and machine learning.
• Support player evaluation, NBA Draft analysis and roster construction.
• Analyse large datasets, including tracking and biomechanical data.
• Build, validate and deploy analytical models.
• Collaborate with software development and data engineering teams.

Skills

Communication skills

Problem solving

NBA knowledge

Education

Degree in Statistics/CS or related field

Tools

Python

SQL

scikit-learn

TensorFlow

PyMC

Git

Cloud computing

Job description

Data Scientist, Analytics Strategy | Los Angeles Lakers

Los Angeles Lakers | NBA | Basketball Operations

Location: El Segundo, California, USA

Level: NBA | Basketball Operations

Contract: Full-time | Office-based (Monday–Friday)

Salary: $100,000–$115,000 annually

Closing date: Not specified

Experience: 3+ years in Data Science or Machine Learning

Travel: Less than 5%

The Role

The Los Angeles Lakers are recruiting a Data Scientist to develop predictive models and advanced analytics supporting player evaluation, recruitment, roster construction and basketball strategy.

Working within Basketball Operations, the successful candidate will turn complex data into actionable insights for decision-makers.

What You'll Do

• Develop predictive models using statistical analysis and machine learning.
• Support player evaluation, NBA Draft analysis and roster construction.
• Analyse large datasets, including tracking and biomechanical data.
• Build, validate and deploy analytical models.
• Collaborate with software development and data engineering teams.

What You'll Need

• 3+ years' professional experience in data science or machine learning.
• Degree in Statistics, Computer Science or a related field, or equivalent experience.
• Strong Python, SQL and machine learning skills.
• Experience with scikit-learn, TensorFlow or PyMC.
• Knowledge of cloud computing, Git and large-scale data processing.
• Strong communication skills and an understanding of NBA basketball.

Desirable: MLOps, probabilistic forecasting, time-series modelling and GPU computing.