Recentive Analytics Inc
Data Scientist
Department:
Engineering
Employment Type:
Full Time
Location:
San Francisco / Remote (USA)
Description
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.
What You'll Be Doing 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. What We're Looking For
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 BigQuery. 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 overengineering 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. Why Work at Recentive
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.
Department:
Engineering
Employment Type:
Full Time
Location:
San Francisco / Remote (USA)
Description
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.
What You'll Be Doing 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. What We're Looking For
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 BigQuery. 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 overengineering 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. Why Work at Recentive
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.