Reddit

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<div>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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p><strong>Location: US remote-friendly or any office location - SF, LA, CHI, NY</strong></p>
<p>The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. </p>
<p>As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. </p>
<p>This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. </p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations</li>
<li>Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests</li>
<li>Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly</li>
<li>Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact</li>
<li>Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes</li>
<li>Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making</li>
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<p><strong>Required Qualifications: </strong></p>
<ul>
<li>Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research</li>
<li>For M.S. holders: 5+ years of industry experience in applied science or data science roles</li>
<li>For Ph.D. holders: 4+ years of industry experience in applied science or data science roles</li>
<li>Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python)</li>
<li>Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques</li>
<li>Comfortable in innovative and fast-paced environments, and a bias toward action</li>
<li>Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike</li>
<li>Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating</li>
</ul>
<p><strong>Benefits:</strong></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave  </li>
</ul>
<p> </p>
<p>#LI-Remote #LI-NH1 </p><div><div><div><p><strong>Pay Transparency:</strong></p>
<p>This job posting may span more than one career level.</p>
<p>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 <a href="https://www.redditinc.com/careers/" target="_blank" rel="noopener noreferrer ugc">https://www.redditinc.com/careers/</a>.</p>
<p>To provide greater transparency to candidates, we share base salary 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.</p></div><div>The base salary range for this position is:</div><div><span>$190,800</span><span>—</span><span>$267,100 USD</span></div></div></div><div><p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Senior Data Scientist - Consumer

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<div>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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p><strong>Job Duties:</strong> Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta analysis, and clearly communicate results to stakeholders up to the Csuite to take action based on the recommendations. Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from <span>AB</span> tests. Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly. Design, evaluate, and/or measure team level KPIs to enable quarterly goal setting and demonstrate team impact. Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes. Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making. <strong>Full-time telecommuting is an option.</strong></p>
<p><strong>Requirements: </strong>Master’s degree in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field OR Bachelor’s degree in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.</p>
<p><strong>Special Skill Requirements: </strong>(1) A/B Testing &amp; Experimentation Design; (2) Causal Inference &amp; Incrementality Measurement; (3) Statistical Modeling &amp; Data Analysis; (4) ETL Development and maintenance; (5) KPI Design and Goal Setting; (6) Cross – Functional collaboration; (7) Data Visualization and Reporting; (8) Python and SQL; (9) Machine Learning and predictive modeling. Any suitable combination of education, training and/or experience is acceptable. <strong>Full-time telecommuting is an option.</strong></p>
<p> <strong>Benefits:</strong></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave </li>
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<p>Submit a resume with references using the apply button on this posting or by email at: <a href="mailto:applicationsreview@reddit.com">applicationsreview@reddit.com</a> at Req.# 1016.244.3<strong>.</strong></p>
<p><strong>Pay Transparency:</strong></p>
<p>This job posting may span more than one career level.</p>
<p>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 <a href="https://www.redditinc.com/careers/" target="_blank" rel="noopener noreferrer ugc">https://www.redditinc.com/careers/</a>.</p>
<p>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. </p>
<p>The base pay range for this position is: $229,000.00 - $267,100.00 USD</p>
<p>#LI-DNI</p><div><p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Senior Data Scientist

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<div>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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p>As a <strong>Senior Staff Machine Learning Engineer, Feed Relevance</strong>, you'll drive the development of GenAI-powered recommendations, leveraging Reddit’s unique community landscape, rich conversational data, and dynamic engagement patterns. Your deep modeling expertise will directly shape the core architectures behind feed ranking, enabling breakthrough personalization for tens of millions of users.</p>
<p><strong>Responsibilities:</strong></p>
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<li>Deliver on technical initiatives that have significant company-wide impact</li>
<li>Set technical direction for the broader Relevance and Feeds teams at Reddit, able to identify opportunities and influence strategy across multiple orgs</li>
<li>Work with management on goal setting, planning, and de-risking critical projects</li>
<li>Mentor and grow Senior and Staff engineers</li>
<li>Create a strong healthy engineering culture</li>
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<p><strong>Qualifications:</strong></p>
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<li>10+ years of industry experience building systems for relevance driven products</li>
<li>Subject matter expert in relevance, recommendation, and ML systems; able to solve complex problems in these domains that few others can </li>
<li>Deep understanding of how to build sustainable software systems at a large scale engineering organization</li>
<li>Experience in influencing organizations on technical direction/best practices</li>
<li>Experience working with cross-functional teams such as design, product, business &amp; data teams to deliver great experiences.</li>
<li>Strong focus on user experience, usability, scalability, reliability and quality. You are an undying advocate for the user, and you have a deep intuition for how people &amp; machines interact with software at scale.</li>
<li>High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org.</li>
</ul>
<p><strong>Benefits:</strong></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave </li>
</ul>
<p>#LI-remote, #LI-JS5</p><div><div><div><p><strong>Pay Transparency:</strong></p>
<p>This job posting may span more than one career level.</p>
<p>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 <a href="https://www.redditinc.com/careers/" target="_blank" rel="noopener noreferrer ugc">https://www.redditinc.com/careers/</a>.</p>
<p>To provide greater transparency to candidates, we share base salary 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.</p></div><div>The base salary range for this position is:</div><div><span>$266,000</span><span>—</span><span>$372,400 USD</span></div></div></div><div><p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Senior Staff Machine Learning Engineer, Feed Relevance

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<div>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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p>Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.</p>
<p>This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.</p>
<p><strong>Responsibilities:</strong></p>
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<li><strong>Design the Future of Ads Identity:</strong> Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.</li>
<li><strong>Advance Lift Methodologies &amp; Experimentation:</strong> Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.</li>
<li><strong>Maximize Signal for Predictive Performance:</strong> Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.</li>
<li><strong>Define Ground Truth &amp; Evaluation Frameworks:</strong> Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.</li>
<li><strong>Lead Through Cross-Functional and Technical Influence:</strong> Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.</li>
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<p><strong>Qualifications:</strong></p>
<p><strong>Required:</strong></p>
<ul>
<li>Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research</li>
<li>For M.S. holders: 10+ years of industry experience in applied science or data science roles</li>
<li>For Ph.D. holders: 6+ years of industry experience in applied science or data science roles</li>
<li>Deep understanding of the ads ecosystem</li>
<li>Demonstrated expertise in at least one of the following areas:</li>
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<li>Measurement &amp; Experimentation at Scale (with focus on lift and attribution)</li>
<li>Identity Graph Creation &amp; Resolution Methodology and Infrastructure</li>
<li>Predictive Modeling with Signal Loss</li>
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<li>Advanced proficiency in statistical programming (Python or R) and SQL.</li>
<li>Experience with machine learning or optimization techniques</li>
<li>Strong understanding of experimental design, causal inference, or A/B testing methodologies</li>
<li>Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners</li>
<li>Experience working in fast-paced, ambiguous environments with cross-functional teams</li>
</ul>
<p><strong>Benefits:</strong></p>
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave  </li>
</ul>
<p> </p>
<p>#LI-Remote</p><div><p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

Staff Data Scientist - Ads Measurement, Signals, Privacy

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<div>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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href="http://www.redditinc.com/" target="_blank" rel="noopener noreferrer ugc">www.redditinc.com</a>.</div>
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</div></div><p>Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes.</p>
<p>As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement.</p>
<p>This is a high-visibility, high-impact role requiring a rare blend of deep experimentation &amp; causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value.</p>
<h3><strong>Responsibilities</strong></h3>
<ul>
<li><strong>Technical Vision &amp; Strategy:</strong> Define the long-term data science vision &amp; strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.</li>
<li><strong>Set the Cross-Pillar Measurement Science Strategy: </strong>Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.</li>
<li><strong>Build Trusted Measurement and Evaluation Frameworks: </strong>Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments.</li>
<li><strong>Advance Experimentation and Causal Inference at Scale: </strong>Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments.</li>
<li><strong>Connect Signals, Identity, and Ranking Outcomes: </strong>Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling and ranking teams to translate measurement improvements into performance gains.</li>
<li><strong>Guide Privacy-Aware Ads Measurement: </strong>Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling.</li>
<li><strong>Create Durable Data Science Infrastructure and Standards: </strong>Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices. Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact.</li>
<li><strong>Influence Senior Cross-Functional Strategy: </strong>Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations.</li>
<li><strong>Uplevel the Data Science Organization: </strong>Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS.</li>
</ul>
<h3><strong>Qualifications</strong></h3>
<h4><strong>Required</strong></h4>
<ul>
<li>Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience.</li>
<li>10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role.</li>
<li>Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization.</li>
<li>Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact.</li>
<li>Strong command of statistical modeling, experimental design, causal inference, and measurement methodology.</li>
<li>Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products.</li>
<li>Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas.</li>
<li>Advanced proficiency in SQL and Python or R. </li>
<li>Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication.</li>
<li>Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization.</li>
<li>Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency.</li>
</ul>
<h4><strong>Preferred</strong></h4>
<ul>
<li>Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation.</li>
<li>Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships.</li>
<li>Experience working on privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling.</li>
<li>Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes.</li>
<li>Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products.</li>
<li>Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization.</li>
</ul>
<p><strong>Benefits:</strong></p>
<ul>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Comprehensive Medical Benefits &amp; Health Care Spending Account</li>
<li>Registered Retirement Savings Plan with matching contributions</li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul>
<p> </p>
<p>#LI-Remote</p>
<p> </p><div><p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p>
<p><span>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 <a href="https://redditinc.com/policies/candidate-privacy-policy" rel="noopener noreferrer ugc" target="_blank">Candidate Privacy Policy for Potential Employees and Contractors</a>.</span></p>
<p><em><span>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.</span></em></p></div>

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