Staff Data Scientist

November 7

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Underdog Fantasy

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Gaming • Sports • B2C

Underdog Fantasy is a company specializing in fantasy sports and sports betting. Despite the technical issue mentioned in the text, it provides a platform where users can engage in fantasy sports contests, draft teams, and potentially win prizes based on the performance of real-world athletes. The company's focus is on providing a fun and competitive experience for sports fans who want to test their skills and luck in fantasy leagues and sports-related betting.

201 - 500 employees

🎮 Gaming

⚽ Sports

👥 B2C

📋 Description

• 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.

🎯 Requirements

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. MS degree preferred. • 2+ 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.

🏖️ Benefits

• 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