Jobs · Analyst · Arizona

Basketball Database Scientist, Phoenix Suns

Phoenix Suns · Phoenix, AZ · Today
AnalystFull-time

About the role

The Basketball Analytics team at Player 15 Group partners across Basketball Operations to transform data, research, and technology into actionable insights for various stakeholders. As a Basketball Data Scientist, you will focus on translating complex basketball questions into rigorous analysis, clear models, useful tools, and decision-ready recommendations.

Responsibilities

  • Own high-impact basketball data science and analysis initiatives.
  • Translate ambiguous basketball questions into clear analytical plans, research designs, models, tools, and recommendations.
  • Conduct basketball research using statistical modeling, machine learning, exploratory analysis, and domain expertise to uncover actionable insights.
  • Build, validate, and maintain models that help evaluate players, teams, lineups, tactics, and basketball decision-making questions.
  • Work with large and complex basketball datasets, including tracking/spatiotemporal data, play-by-play, event data, lineup/personnel data, scouting information, and other internal sources.
  • Develop tools, workflows, and data products that turn research into decisions.
  • Write clean, reproducible code in Python or R for analysis, modeling, reporting, and internal workflows.
  • Build internal tools, dashboards, visualizations, and workflows when needed to move projects forward quickly.
  • Partner with the Engineering team to productionalize high-value model outputs, tools, and data products.
  • Document methods, assumptions, limitations, and outputs clearly so work can be reused, reviewed, and extended by the broader analytics team.
  • Support basketball stakeholders with clear analysis and communication.
  • Collaborate with front office, coaching, scouting, player development, and basketball strategy groups to ensure analysis is connected to real basketball decisions.
  • Communicate complex technical findings through clear recommendations, written reports, visualizations, and presentations.
  • Help scope problems, prioritize work, and determine when analysis is rigorous enough to inform decisions.
  • Use basketball judgment to interpret model outputs, identify limitations, and translate findings into practical next steps.
  • Drive innovation and special projects within Basketball Analytics.
  • Stay current with relevant research, modeling approaches, and basketball analytics methods.
  • Identify opportunities to bring new ideas, methods, and data sources into the organization.
  • Create models and insights that are difficult to replicate externally.

Requirements

  • Basketball Curiosity and Judgment - A strong desire to understand the game, ask better questions, and connect analysis to basketball decision-making.
  • Technical Rigor - Strong statistical, machine learning, and research fundamentals with the ability to validate work and communicate uncertainty.
  • Practical Builder - Ability to move from idea to prototype quickly, while writing clean and reproducible Python or R code.
  • Clear Communicator - Ability to translate complex technical work into clear, concise recommendations for technical and non-technical stakeholders.
  • Ownership Mindset - Comfortable taking responsibility for ambiguous problems and driving work from question to insight.
  • Collaborative Teammate - Ability to work effectively across Analytics, Engineering, and basketball departments with a service-oriented approach.
  • Data Science Foundation - Professional experience in data science, applied science, research science, or a similar analytical field; expertise in Python or R for data science and proficient SQL skills.
  • Basketball Analytics Experience - Prior sports analytics experience with a college, professional, or NBA team is a plus.

Qualifications

  • Professional experience in data science, applied science, research science, or a similar analytical field.
  • Expertise in Python or R for data science.
  • Proficient SQL skills.

Skills

  • Statistical modeling
  • Machine learning
  • Exploratory analysis
  • Domain expertise
  • Python or R programming
  • SQL

Benefits

Player 15 Group offers a competitive benefits package including health insurance, retirement savings options, and paid time off.

Pay

Competitive salary commensurate with experience.

Schedule

Full-time position.

Equal Opportunity Employer

Player 15 Group is an equal opportunity employer and welcomes applications from all qualified individuals. We are committed to creating a diverse and inclusive workplace and encourage applications from underrepresented groups.

Similar jobs