Data Scientist
Department:
Engineering
Employment Type:
Full Time
Location:
San Francisco
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
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.