Data Scientist

Department: Engineering

Employment Type: Full Time

Location: San Francisco

We’re looking for a Data Scientist to join Recentive’s core data science team. In this role, you’ll design and deploy analytical solutions that power decision-making for some of the biggest names in sports, entertainment, and broadcast. You’ll collaborate closely with our data, product, and engineering teams to develop scalable models that solve complex, high-impact business problems.

• Building Creative Analytical Solutions
  :
  Develop and deploy models and decision tools that combine analytics, optimization, and business insight; balancing sophistication, performance, and practical constraints.
• Collaborating Across Teams
  :
  Partner with internal teams and external stakeholders to frame complex business problems as analytical and engineering problems, and drive both execution and cross-functional collaboration.
• Designing Data Pipelines & Workflows
  :
  Build robust data workflows and modeling pipelines using tools like Python, SQL, DBT, and Snowflake.

• Python Expertise
  : 5+ years developing and deploying production-ready Python-based analytics solutions across a range of problem types.
• SQL Expertise
  : 5+ years writing and optimizing SQL queries for analytical platforms like Snowflake, Redshift, or Big Query.
• Forecasting & Demand Modeling Experience
  :
  Experience designing forecast and demand models that handle real-world data with diverse historical data conditions, including gaps, bias, and structural shifts.
• End-to-End Project Leadership
  :
  Comfortable defining problems, validating solutions, and collaborating on integration and deployment.
• Analytical & Problem-Solving Skills
  :
  Strong first-principles thinker with a pragmatic, data-driven approach to experimentation and refinement.
• Analytics Engineering Experience
  :
  Skilled at transforming raw or messy data into structured, analysis-ready datasets using best practices in analytics engineering.
• Right Tools for the Job
  :
  Able to assess when machine learning, heuristics, or analytical models are appropriate and avoid over engineering in favor of effective, sustainable solutions.
• Client Empathy
  :
  Strong communicator who can translate domain intuition into technical models and work with external partners to clarify, validate, and iterate on solutions.

• Impactful Work: Our technology and products directly shape operational strategies at leading sports teams and leagues, broadcasters, and other key players in the live events ecosystem.
• Forward Thinking: Design and build forward-thinking analytical solutions that blend creativity and engineering leveraging advanced algorithms, optimization, and machine learning to solve complex, real-world challenges.
• Collaborative Culture: We’re a growing, tight-knit data-centered team that values knowledge-sharing, learning, and innovation.
• Growth & Ownership: Shape your career as a technical leader while helping build next-generation analytical tools from the ground up.
• Just Getting Started: We’ve accomplished a lot but we’re just in the early innings of where we’ll go. Our new west-coast office in SF is a testament to that growth and will serve as a hub for our growing team.