Senior Staff, Data Scientist (Incrementality and Attribution)

Director and Head of CRM Analytics and Science Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. The role Coupang Growth & Marketing team is seeking a Director and Head of CRM Analytics and Science to lead high-impact, data-driven initiatives that power our customer engagement and marketing ecosystem. Your mission will be to scale and optimize how we interact with millions of customers. You will oversee data science strategy and execution across category growth, onsite marketing optimization, outbound channel optimization, and customer lifecycle management. This is a highly visible leadership role collaborating cross-functionally with engineering, product, and business leaders to build state-of-the-art personalization, targeting, and optimization models that accelerate customer lifetime value and growth What you will do: Leadership & Strategy * Define and execute the vision and technical roadmap for CRM, lifecycle marketing, and channel optimization data science initiatives. * Build, mentor, and scale high-performing squads of data scientists and applied researchers, fostering an environment of technical excellence and continuous growth. * Align data science strategy with broader Growth & Marketing business priorities to drive measurable efficiency and revenue impact. Impact & Execution * Lead the development and deployment of advanced machine learning models, personalization algorithms, and optimization frameworks across outbound channels (e.g., push, SMS, email) and onsite marketing surfaces. * Drive data science solutions for customer lifecycle stages (acquisition, activation, retention, and churn prevention) and strategic category growth. * Translate ambiguous marketing and growth challenges into structured data science problems, taking end-to-end ownership from initial ideation to productionization. Cross-Functional Collaboration * Partner closely with Product, Engineering, and Growth Marketing stakeholders to embed data science deeply into our marketing automation and customer engagement platforms. * Act as a trusted advisor to senior leadership, communicating complex model mechanics and incremental business impacts clearly and effectively. * Collaborate with core data infrastructure teams to ensure the scalability and reliability of real-time data pipelines required for marketing personalization. Technical Excellence * Set the gold standard for experimentation, measurement, and causal inference within the onsite marketing, CRM and lifecycle measurement domains. * Ensure the scalability, robustness, and monitoring of production models handling massive scale and real-time decisioning. * Stay ahead of emerging trends in AI, deep learning, NLP, and recommendation systems to continuously improve our marketing tech stack. Basic Qualifications * Undergraduate degree or higher in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related discipline * 8+ years of experience in data science, machine learning, or advanced analytics. * 5+ years of experience directly leading and managing high-performing data science teams. * Proven track record of delivering measurable business impact (e.g., lift in conversion, retention, ROI) through production-grade machine learning models. * Strong foundation in statistical modeling, machine learning, personalization/recommendation systems, and large-scale A/B testing. Preferred Skills and Qualifications * Experience in Growth Marketing/CRM Data Science: Deep familiarity with customer lifetime value (LTV) modeling, churn prediction, marketing mix modeling (MMM), incrementality testing, or audience segmentation. * Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related discipline. * E-commerce or Tech Scale: Experience working in large-scale, fast-paced technology or e-commerce environments handling massive datasets. * Navigating Ambiguity: Demonstrated success operating in high-growth settings, turning loosely defined business goals into concrete technical executions. * Exceptional Communication: Ability to influence both technical engineering teams and non-technical business stakeholders with compelling, data-backed narratives. [Recruitment Process and Others] * Recruitment Process: * Application Review - Phone Interview - Onsite Interview - Offer * The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances. Others: * This job post may be closed early if all openings are filled. * If there is any false information in the application, the offer may be cancelled. * Veteran status or disability will not result in any disadvantages in the recruitment process. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. [Privacy Notice] * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. * https://www.coupang.jobs/kr/privacy-policy/

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 126 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 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. 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. This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & 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. RESPONSIBILITIES * Technical Vision & Strategy: Define the long-term data science vision & 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. * Set the Cross-Pillar Measurement Science Strategy: 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. * Build Trusted Measurement and Evaluation Frameworks: 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. * Advance Experimentation and Causal Inference at Scale: 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. * Connect Signals, Identity, and Ranking Outcomes: 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. * Guide Privacy-Aware Ads Measurement: Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling. * Create Durable Data Science Infrastructure and Standards: 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. * Influence Senior Cross-Functional Strategy: 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. * Uplevel the Data Science Organization: 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. QUALIFICATIONS REQUIRED * Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience. * 10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role. * Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization. * Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact. * Strong command of statistical modeling, experimental design, causal inference, and measurement methodology. * Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products. * Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas. * Advanced proficiency in SQL and Python or R.  * Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication. * Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization. * Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency. PREFERRED * Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation. * Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships. * Experience working on privacy-constrained measurement, clean rooms, aggregation, consent-aware systems, or privacy-preserving modeling. * Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes. * Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products. * Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization. Benefits: * 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 * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave     #LI-Remote   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 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. The base salary range for this position is: $232,500—$325,500 USD 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. 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.