Staff Data Scientist

We're looking for a Staff Data Scientist to lead the development of personalization systems and machine learning models that enhance our product and drive measurable impact for our users. This is a high-visibility role where you’ll act as a technical leader and hands-on builder, spearheading end-to-end personalization initiatives from idea to impact.

• Lead end-to-end personalization initiatives across the product, from identifying high-impact opportunities to model development, deployment, and testing.
• Design and build complex machine learning models, such as recommender systems, ranking algorithms, segmentation models, and targeting solutions.
• Partner closely with Product, Engineering, Marketing, and Data teams to implement solutions that improve user engagement, retention, and conversion.
• Drive experimentation, including A/B test design, measurement, and interpretation, to validate model and product effectiveness.
• Help define the architecture and framework for scalable, repeatable personalization systems and ensure proper model monitoring, governance, and documentation.
• Set up and lead recurring cross-functional standups to align and drive forward personalization initiatives.
• Mentor and guide junior data scientists, providing thought leadership and technical direction within the Data Science team.

• Advanced degree in mathematics, statistics, engineering, computer science, or similar field.
• 6+ years of industry experience in data science or machine learning, with a focus on personalization, recommendations, targeting, or user modeling.
• Proven experience designing and implementing recommendation engines, ranking algorithms, or uplift models.
• Deep expertise in statistical modeling, experimentation (A/B testing), and causal inference techniques.
• Excellent Python programming skills, with experience building and maintaining production-ready ML code.
• Strong command of SQL and comfort working with large-scale, complex datasets.
• Experience working in cloud-based environments (e.g., AWS, GCP) and familiarity with modern data/ML tools and frameworks (e.g., Airflow, dbt, MLflow, SageMaker, Vertex AI, etc.).
• Demonstrated ability to collaborate cross-functionally and translate business problems into data-driven solutions.
• Strong business acumen and communication skills: You can explain complex technical concepts to non-technical audiences.

• Experience with uplift modeling, multi-armed bandits, or reinforcement learning for personalization.
• Prior work in the fantasy sports, sports betting, mobile gaming, or consumer entertainment industries.
• Contributions to building ML infrastructure, pipelines, or reusable personalization frameworks.
• Familiarity with real-time recommendation systems or event-stream processing (e.g., Kafka, Flink, Kinesis).

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 (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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