Company Overview
Underdog.io is a technology-driven platform designed to streamline the job search process for engineering and product professionals. Since its launch in April 2014, Underdog.io has successfully connected thousands of candidates with top-tier companies across the United States.

Job seekers submit their resumes and essential details through a single application. Underdog.io then uses a blend of human expertise and intelligent algorithms to evaluate, rank, and curate a select group of candidates each week. This curated list is shared with a network of hiring companies, where founders and hiring managers can reach out directly and guide candidates through their existing recruitment processes.

The Opportunity

Join our Monetization Data Science team and make a meaningful impact on how creators around the world earn income on our platform. As a Data Scientist specializing in Payouts and Creator Economics, you will play a key role in ensuring our compensation systems are equitable, transparent, and innovative. You’ll collaborate cross-functionally with Product, Engineering, Finance, and Legal teams to refine payout policies, develop new monetization features, and detect and prevent fraud. This role is a strong foundation for growing into a senior technical leadership position.

What You’ll Do

Analyze Policy Outcomes: Evaluate how changes to payout programs—such as eligibility requirements or payment timing—affect creator engagement and overall platform economics.
Develop Creator Insights: Create dashboards and generate reporting to track program performance, earnings patterns, and key payout metrics.
Lead Causal Inference: Apply robust statistical methods (e.g., Difference-in-Differences, matching, inverse probability weighting) to assess the impact of non-experimental policy changes.
Build Data Infrastructure: Own the design and maintenance of data workflows using SQL and Python to support recurring analytics and insights.
Cross-Functional Strategy: Translate data into actionable insights for stakeholders and inform product roadmaps through a data-first lens.
Support Innovation: Contribute to the design and evaluation of new monetization features that create opportunities for a global creator community.

What You Bring

Experience

3+ years in Data Science, Analytics, or a related field

Technical Proficiency

Expert-level SQL (e.g., complex joins, window functions)
Strong Python (Pandas, SciPy) or R for data manipulation and analysis
Deep understanding of causal inference, experimental design, and quasi-experimental methods

Soft Skills

Strong communicator able to present complex data to executive, legal, and technical audiences
Ownership mindset—comfortable working with ambiguity and imperfect data to drive results
Growth-oriented—ready to evolve from tactical work to strategic leadership

Nice-to-Haves

Experience with Airflow, SageMaker, or deploying machine learning models (e.g., fraud or churn prediction)
Background in econometrics or A/B test design
Familiarity with data visualization tools such as Tableau, Looker, or Redshift

Perks & Benefits

Competitive Salary + Annual Bonus
100% Employer-Paid Medical, Dental, Vision, and Disability Insurance
16 Weeks of Paid Parental Leave + Fertility Support
Unlimited PTO + Company-Wide Breaks
$1,000 Annual Home Office Stipend
401(k) with 100% Match up to 6%
Exclusive Discounts from Leading E-commerce Brands

Our Culture

Community First: We prioritize inclusivity for creators and teammates alike.
Bold Ownership: We take initiative, embrace challenges, and follow through.
Learn Together: Weekly tech talks, mentorship, and a $5,000 annual learning stipend
Global Impact: Your work empowers creators around the world every day.

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Data Scientist