Principal Data Scientist, Ads

Reddit, Inc.; Remote; CAD 368,000 - 503,000; Full time

Job summary

A leading social media platform is seeking a Principal Data Scientist who will drive the strategic application of advanced quantitative methods across their advertising platform. This pivotal role involves defining and implementing data science solutions that optimize the ads marketplace. The ideal candidate should have a Master’s or Ph.D. in a quantitative field and proven expertise in statistical programming and causal inference. This role offers a salary of $268,000 - $365,100 USD, along with comprehensive benefits.

Benefits

Comprehensive healthcare benefits

401k with employer match

Generous time off

Parental leave

Qualifications

• 12+ years of experience in applied science, data science, or machine learning engineering (for M.S. holders).
• 8+ years of relevant experience in the field (for Ph.D. holders).
• Experience with measurement and experimentation at scale.

Responsibilities

• Define the future of Ads Data Science solutions.
• Lead the strategic design and scientific roadmap.
• Take end-to-end ownership of complex problem domains.

Skills

Ads marketplace understanding

Statistical programming (Python or R)

Causal inference

Exceptional problem-solving

Education

Master's or Ph.D. in Economics, Statistics, or related

Bachelor's degree in Computer Science or related field

Tools

SQL

Statistical analysis software

Job description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .

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

Reddit is seeking an Engineering Manager as a technical leader for our Small to Medium Business (SMB) focused Advertiser Growth efforts. In this role, you will be responsible for developing the technical foundation for mission critical product pillars, collaborating across the company to deliver outcomes for the Reddit Ads Business, and leading the team responsible for acquiring new advertisers on Reddit.

This role provides an opportunity to partner closely with cross‑functional teams such as product, design, marketing, data science, UX and Sales, and, ultimately, to make a large number of small to medium businesses successful on Reddit.

As a leader for all of these efforts, you will set the engineering strategy for building iteratively, shipping quickly, testing rigorously, and adding step‑change capabilities towards our ambitious goals of multiplying many times over our number of monthly active advertisers. This is an exciting moment in Reddit’s journey where we have the knowledge, resources and infrastructure to bring Reddit’s unique products to more people and help more small businesses be successful on our platform. This is an impactful opportunity to lead a team through an existing period of worldwide user and advertiser growth.

Responsibilities

• Lead, coach, and grow a team of engineers across the stack, including mobile, frontend, and backend
• Collaborate with designers and product managers to discover and build new Ad functionality and products. Be a thought leader in this process.
• Maintain and enhance the team culture of fast iteration, experimentation, and collaboration.
• Ensure the long term success of both the product and the growth of our people
• Participate in and be the ultimate owner of the full development cycle: product ideation, design, development, QA, experimentation, analysis, and launch. You’ll be brainstorming, giving feedback on design docs, product specs and mocks, and generally helping out wherever is needed.
• Collaborate with multiple teams across the entire company to make SMBs successful on reddit

Required Qualifications

• Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Engineering, Applied Sciences, Mathematics, Physics, or a related field
• Engineering leadership experience working across multiple teams
• At least 2 years of experience working on Ads products and/or growth engineering
• 5+ years of experience in software engineering
• Experience coordinating large‑scale, cross‑functional efforts that span different teams, and driving alignment
• Experience working with multiple teams in product & design
• Knowledge of full stack product development practices (Frontend, Mobile, Backend)

Preferred Qualifications:

• Experience working on SMB related products/projects
• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Mental Health & Coaching Benefits

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:

$268,000 - $365,100 USD

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors .

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit U.S. Equal Employment Information

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. To bring community and belonging to everyone in the world, Reddit’s employees must represent communities and redditors on our platform.

Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.

We invite you to self‑identify across the identities below so we can better understand our talent pools and assess our effectiveness in attracting and recruiting people to Reddit from all backgrounds.

Answering these questions will not impact your application, nor will this information be shared with anyone making a hiring decision. For more information, please refer to our statement here .