Principal Data Scientist - Ads

Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit.

In this pivotal leadership role you will be responsible for defining and implementing the next generation of foundational data science solutions leveraging expertise in statistics econometrics machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner collaborating closely with Product Engineering and Business leaders to establish the long-term vision for measurement prediction and optimization.

As a thought leader you will champion scientific rigor causal inference and economic modeling while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex high-impact business problems join us in shaping the future of Reddit ads.

What you’ll do

• Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure building for the next several years of continued scale revenue growth and relevance.

• Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform auction targeting and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI User experience and Reddit revenue.

• Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration advertiser lifetime value (LTV) and developing advanced predictive and causal frameworks that power Reddit’s strategic investments.

• Establish scientific standards: Define and codify best practices for large-scale statistical modeling economic analysis causal inference offline model evaluation and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams.

• Technical deep dive & authority: Be the undisputed domain authority for data scientists engineers and product managers on complex problems involving large-scale behavioral data foundational models for strategic insights and the economics of marketplace dynamics.

• Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics robust measurement methodologies and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action.

• Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists influencing technical and statistical direction across the entire product and engineering organization and championing innovation in ad systems through advanced quantitative techniques.

Requirements

• Demonstrated expertise in at least one of the following: ads marketplace understanding auctioning/bidding ads creative & format evaluation measurement & experimentation at scale

• Master's or Ph.D. in Economics Statistics Computer Science Operations Research or a related quantitative discipline

• For M.S. holders: 12+ years of industry experience in applied science data science or machine learning engineering roles

• For Ph.D. holders: 8+ years of relevant experience applied science data science or machine learning engineering roles

• Advanced proficiency in statistical programming (Python or R) and SQL

• Experience with statistical analysis economic modeling foundational machine learning and/or optimization techniques

• Strong understanding of experimental design causal inference or A/B testing methodologies

• Exceptional problem-solving and communication skills with a track record of influencing product and engineering partners

• Experience working in fast-paced ambiguous environments with cross-functional teams

• Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction statistical rigor and machine learning best practice

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs

• 401k Match

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Reddit Global Days off

• Generous paid Parental Leave

• Paid Volunteer time off

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary this job is eligible to receive equity in the form of restricted stock units and depending on the position offered it may also be eligible to receive a commission. Additionally Reddit offers a wide range of benefits to U.S.-based employees including medical dental and vision insurance 401(k) program with employer match generous time off for vacation and parental leave. To learn more please visit https://www.redditinc.com/careers/ .

To provide greater transparency to candidates we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function level and country location benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including skills depth of work experience and relevant licenses/credentials and may vary from the amounts listed below.

The base pay range for this position is:

$268000—$365100 USD