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BSE Global · 1 day ago

Senior Data Scientist

Brooklyn, NY

Full-time

Onsite

Senior Level, Lead/Staff

$100K/yr - $150K/yr

8+ years exp

BSE Global is a company that creates bold, authentic, and unforgettable experiences in sports, entertainment, and hospitality. As a Senior Data Scientist, you will lead high-impact analytics projects and drive marketing analytics efforts while partnering with cross-functional stakeholders to build out the data science function and shape data-driven strategies for fan acquisition, retention, and revenue growth.

EventsFranchiseMedia and Entertainment

Responsibilities

Lead end-to-end development of machine-learning solutions (forecasting, classification, recommendation, clustering) using Python and popular libraries (scikit-learn, XGBoost, TensorFlow/PyTorch)

Productionize models in cloud environments (Snowflake, Dataiku, or custom ML pipelines), ensuring scalability, performance, and monitoring

Champion and adhere to BSE’s established ML Ops process—regularly evaluate its effectiveness, identify gaps, and collaborate with engineering and operations teams to enhance model deployment, monitoring, and governance

Think critically about the business problem at hand and deploy the appropriate measurement technique

Assist w/ design, development, and deployment of AI-powered solutions—including intelligent agents and LLM-integrated applications—using platforms like Amazon Bedrock, Snowflake Cortex, and other generative AI technologies

Design and execute A/B tests, uplift modeling, and causal inference analyses to quantify the impact of marketing campaigns, pricing initiatives, and in-venue experiences

Develop customer segmentation and lifetime-value frameworks to inform personalization and loyalty programs

Partner closely with ticketing, merchandising, marketing, finance, and IT teams to translate business questions into analytical solutions

Evangelize best practices for reproducible research: version control (Git), code reviews, unit testing, and documentation

Mentor junior data analysts, fostering continuous learning and promoting a culture of experimentation

Qualification

Machine LearningPythonData ScienceCloud PlatformsSQL/PySparkDigital Marketing MetricsMLOpsTechnical CommunicationAttention to DetailTeam Leadership

Required

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Marketing Analytics, or related quantitative field—or equivalent practical experience

8+ years work experience using analytics and/or data science to solve problems, with hands-on experience in a wide range of measurement and prediction techniques (Bayesian modeling, correlation analysis, observational causal inference, ranking/recommendation, and/or time-series/forecasting)

Hands-on depth with Python, SQL/PySpark, ML frameworks (scikit-learn/XGBoost/TensorFlow/PyTorch), and MLOps (feature stores, MLflow/model registry, CI/CD, online serving)

Cloud platform expertise, containers/Kubernetes, and integrating with modern data stacks (Snowflake, Databricks, Dataiku)

Strong understanding of digital-marketing metrics (CTR, CPA, ROAS) and analytics tools (Google Analytics, Adobe Analytics)

Ability to document workflows clearly and contribute to knowledge sharing within the team

Effective technical communicator who can convey clear recommendations to a variety of audiences (Technology, Marketing, senior leadership)

Excellent written and verbal communication skills, with the ability to effectively present complex data and insights to both technical and non-technical stakeholders

Strong attention to detail and the ability to work with large datasets accurately and efficiently