Data ScientistRecentive Analytics Inc • San Francisco, CA, United States

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Data Scientist

Recentive Analytics Inc • San Francisco, CA, United States

5 days ago

Job type

Full-time

Job description

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.

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Data Scientist • San Francisco, CA, United States

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