Data Scientist

Recentive Analytics Inc.; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Collaborative Culture

Growth & Ownership

Job summary

Recentive Analytics Inc. is seeking a Data Scientist in San Francisco to design and deploy analytical solutions for top names in sports and entertainment. The role involves developing models, collaborating across teams, and building data pipelines using Python and SQL. Ideal candidates have 5+ years of experience in analytics engineering and strong problem-solving skills, along with effective communication abilities. Join a growing team focused on innovative, impactful work that shapes strategies in the live events ecosystem.

Qualifications

• 5+ years developing and deploying production-ready Python-based analytics solutions.
• 5+ years writing and optimizing SQL queries for analytical platforms like Snowflake.
• Experience designing forecast and demand models with diverse historical data conditions.

Responsibilities

• Develop and deploy analytical models that power decision-making.
• Collaborate with internal teams to frame complex business problems.
• Build robust data workflows and modeling pipelines.

Skills

Python Expertise

SQL Expertise

Forecasting & Demand Modeling Experience

Analytical & Problem-Solving Skills

Analytics Engineering Experience

Client Empathy

Tools

DBT

Snowflake

SQL

Job description

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.