Underdog Fantasy is hiring a
Senior Data Scientist

closed
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Underdog Fantasy

πŸ’΅ $150k-$180k
πŸ“Remote - Worldwide

Summary

The job is for a Senior Data Scientist at Underdog, a fast-growing sports gaming company. The role involves optimizing marketing programs through predictive modeling, analyzing business performance, designing experiments, creating dashboards, mentoring junior analysts, and working with cross-functional teams.

Requirements

  • At least 4 years of experience building models to solve complex marketing problems (e.g., MMM, multi-touch attribution, CLTV, churn, etc.)
  • Strong skills in SQL, at least one of either Python or R, and cloud-based data platforms

Responsibilities

  • Develop and deliver models and analyses that optimize marketing programs
  • Analyze business and marketing performance, identifying trends and root causes
  • Design and execute experiments, interpret results, and enhance marketing performance
  • Create interactive dashboards, visualizations, and data/modeling applications to communicate insights and other model outputs
  • Implement and maintain model evaluation, monitoring, alerting, and logging mechanisms to ensure the health and accuracy of Underdog’s modeling systems
  • Mentor junior analysts and data scientists, lead technical initiatives, and drive results in a fast-paced, dynamic environment
  • Work with cross-functional teams to identify data-driven solutions to a variety of business problems

Preferred Qualifications

  • Strong interest in sports
  • Prior experience in the sports betting industry
  • Prior experience building MMM, MTA, Churn, or CLTV models

Benefits

  • Unlimited PTO for salaried 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
This job is filled or no longer available

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