Staff Data Scientist - Ads Measurement, Signals, Privacy

United States

Remote

Full-time

$217k - $304k

1d ago

Apt Insight

In this role, you will join Reddit's Ads Data Science team to drive the intelligence, measurement, and identity capabilities behind their advertising platform. You will take deep ownership of strategic focus areas including identity resolution, signal quality, and attribution, shaping methodologies that connect on-platform and off-platform user actions while strictly preserving user privacy. As a Staff Data Scientist, you will operate with high autonomy to set the technical bar, design robust statistical frameworks, and mathematically quantify new signal sources to enhance predictive modeling and bidding efficiency. You will partner closely with engineering, product, and sales teams to convert complex analytical insights into scalable systems and measurable business impact across the advertising organization.

About Reddit

Reddit is a prominent social media and community platform founded in 2005, hosting over 100,000 active communities and approximately 130 million daily active unique visitors. Headquartered in San Francisco, California, the company operates in the internet and web services industry with a workforce of several thousand employees.

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Responsibilities

Develop and deploy probabilistic models for identity resolution to connect user actions across platforms while honoring privacy requirements.

Own the statistical frameworks and experimental designs behind Brand and Conversion Lift products to support large-scale, low-bias testing.

Mathematically evaluate and quantify new signal sources to enhance predictive performance and improve bidding efficiency.

Design ground truth evaluation datasets and objective functions to train machine learning models and measure identity graph impact.

Collaborate cross-functionally with engineering, product, and sales teams to translate strategic goals into actionable technical solutions.

Mentor team members and champion rigorous modeling, experimentation, and measurement best practices across the Ads organization.

Qualifications

Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research.

Minimum of 10+ years of applied data science industry experience for Master's holders, or 6+ years for Ph.D. holders.

Deep technical understanding of the digital advertising ecosystem, attribution, and experimentation.

Advanced proficiency in statistical programming with Python or R, alongside strong SQL expertise.

Demonstrated background in causal inference, experimental design, and machine learning or optimization techniques.

Nice to Have

Proven track record building and scaling identity graphs and resolution infrastructure in privacy-restricted environments.

Extensive experience designing large-scale brand lift or conversion lift measurement products.

Demonstrated ability to influence cross-functional technical strategy and guide senior stakeholders in fast-paced environments.

Work Environment

Fully remote position available to candidates based within the United States.

Standard full-time schedule of approximately 40 hours per week.

Collaborative and autonomous cross-functional environment working with product, engineering, and data science peers.

AI-assisted interview process with recording and transcription opt-out options available.

Benefits & Perks

Base salary range between $217,000 and $303,900 USD per year, benchmarked to role and experience level.

Equity compensation provided in the form of Restricted Stock Units (RSUs) and potential commission eligibility.

Comprehensive medical, dental, and vision insurance alongside income replacement and gender-affirming care programs.

401(k) retirement savings plan with employer matching.

Flexible vacation policy, paid volunteer time off, and generous paid parental leave.