Data Scientist

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Were looking for a Data Scientist to join Recentives core data science this role youll design and deploy analytical solutions that power decision-making for some of the biggest names in sports entertainment and broadcast. Youll collaborate closely with our data product and engineering teams to develop scalable models that solve complex high-impact business problems.

What Youll 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 Were 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 engineeringleveraging advanced algorithms optimization and machine learning to solve complex real-world challenges.
Collaborative Culture: Were 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: Weve accomplished a lot but were just in the early innings of where well go. Our new west-coast office in SF is a testament to that growth and will serve as a hub for our growing team.

Required Experience:

Were looking for a Data Scientist to join Recentives core data science this role youll design and deploy analytical solutions that power decision-making for some of the biggest names in sports entertainment and broadcast. Youll collaborate closely with our data product and engineering teams to deve...

What Youll 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 Were 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 engineeringleveraging advanced algorithms optimization and machine learning to solve complex real-world challenges.
Collaborative Culture: Were 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: Weve accomplished a lot but were just in the early innings of where well go. Our new west-coast office in SF is a testament to that growth and will serve as a hub for our growing team.

Required Experience: