Data Scientist

Recentive Analytics

$120K — $150K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with production-ready Python analytics solutions
  • 5+ years of experience writing SQL queries for analytical platforms
  • Experience with forecasting and demand modeling in diverse data conditions
  • Proven ability to lead projects from problem definition to deployment
  • Strong analytical skills and a data-driven experimentation approach
  • Experience in transforming raw data into structured datasets
  • Capacity to select appropriate tools for model complexity and sustainability
  • Effective communicator with client empathy for translating technical solutions

Responsibilities

  • Develop and deploy innovative analytical solutions for business decision-making
  • Partner with teams to frame and tackle complex analytical challenges
  • Build and maintain robust data pipelines and workflows
  • Collaborate with both internal and external stakeholders
  • Drive execution of analytical solutions across teams

Benefits

  • Influence major operational strategies in sports and entertainment
  • Work on cutting-edge solutions blending creativity and advanced technology
  • Participate in a collaborative and knowledge-sharing team culture
  • Take ownership in shaping technical leadership and career growth
  • Be part of an early-stage and rapidly growing organization in a new office space
Full 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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