Next League

Next League

Data Scientist

United States · Contract

Sponsorship not specifiedDetected 62 days ago
PythonSQLBigQuerySnowflakeDatabricksVector DatabasesAWSAzureMachine LearningTensorFlowPyTorchscikit-learnData AnalysisData ScienceLLMsRAGAgentic AIMLOpsLangGraphStatisticsMarketing AnalyticsHubSpotSalesforceCRM

About the role

  • This role begins as a contract position at an hourly rate of $200 USD per hour, providing a streamlined path toward a permanent, salaried full-time transition.
  • Next League is seeking a Data Scientist to join the AI Strategy, Training and Transformation team.
  • The role sits at the intersection of quantitative modeling and applied AI engineering.

Responsibilities

  • Data scientists who want to do more than build models, and who are excited to ship applied AI that drives client outcomes
  • This role pairs rigorous applied data science with hands-on AI agent prototyping to power how we deliver measurable outcomes for our sports, entertainment, and league clients.
  • You will collaborate primarily with product, strategy, and engineering counterparts, with occasional embedding on client engagements to lead technical discovery, audit data, and architect modeling solutions.

Nice to have

  • Translate ambiguous business problems into well-scoped modeling initiatives with clear success metrics
  • Prototype AI agents, copilots, and assistants using leading frameworks such as LangChain, LangGraph, OpenAI Agents SDK, and Claude
  • Stay current on the rapidly evolving model and tooling landscape, and bring practical recommendations back to the team
  • Communicate complex modeling results to non-technical stakeholders with clarity and credibility
  • Contribute to executive-ready deliverables including business cases, demos, and rollout plans
  • Help shape Next League's internal data science and AI tooling stack
  • Contribute to responsible AI, model governance, privacy, and enterprise data handling standards
  • Proficiency in Python and SQL, with comfort in at least one major ML library (scikit-learn, PyTorch, TensorFlow, XGBoost, or similar)

Skills

  • Predictive and propensity modeling (fan churn, lookalike audiences, conversion likelihood, lifetime value)
  • Marketing performance, attribution, and media mix modeling
  • Pricing, demand forecasting, and inventory optimization for ticketing and hospitality
  • Recommendation and personalization systems for fan-facing experiences
  • AI agent prototypes for sales, service, content, and internal workflows
  • Evaluation frameworks for LLM and agentic systems (accuracy, latency, cost, safety, drift)
  • Custom analytics and insight tooling for Next League consultants and client stakeholders

Compensation

  • This role begins as a contract position at an hourly rate of $200 USD per hour, providing a streamlined path toward a permanent, salaried full-time transition.
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