Staff Data Scientist

• Collaborate with other data scientists to build and iterate on models for personalized recommendations, targeting, and user segmentation.
• Lead personalization initiatives that span modeling, experimentation, and implementation to improve user experience and retention.
• Build and deploy machine learning models such as recommendation systems, targeting algorithms, segmentation, and ranking models.
• Design and analyze A/B tests and other experiments to evaluate the effectiveness of personalization strategies.
• Collaborate closely with Product, Engineering, Marketing, and Data Engineering to bring personalization models into production.
• Develop clean, maintainable code and contribute to reusable pipelines, feature stores, and evaluation frameworks.
• Translate data insights into compelling stories and actionable strategies for technical and non-technical audiences.

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. MS degree preferred.
• 7+ years of experience in data science, machine learning, or a related technical role.
• Hands-on experience with recommendation engines, targeting systems, ranking models, or personalization algorithms.
• Strong proficiency in Python for modeling and data manipulation.Advanced SQL skills and experience querying large, complex datasets.
• Solid foundation in statistics, hypothesis testing, and experimental design.
• Familiarity with cloud-based tools and platforms (e.g., AWS, GCP, Snowflake, dbt, Airflow).
• Proven ability to partner cross-functionally and influence product decisions with data.

• Experience with uplift modeling, multi-armed bandits, or causal inference.
• Prior work in industries such as fantasy sports, sports betting, mobile gaming, or other B2C tech companies.
• Exposure to real-time personalization pipelines or recommender systems at scale.
• Familiarity with tools like MLflow, SageMaker, or Feature Stores.

Our target starting base salary range for this position is between $180,000 and $210,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.

• Unlimited PTO for full-time employees (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
• 16 weeks of fully paid parental leave
• A $500 home office allowance
• A connected virtual-first culture with a highly engaged distributed workforce
• 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents

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