Data Scientist, Analytics Strategy - Predictive Basketball

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

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.