Staff Data Scientist, Ads Delivery

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are looking for a senior technical leader to drive the next generation of Conversion Measurement capabilities across Pinterest Ads. This is a highly cross-cutting individual contributor role for an engineer who can operate with both breadth and depth—shaping strategy, driving architecture, and delivering durable platforms and product capabilities across a broad range of measurement challenges. This role will partner with domain leads to tackle ambiguous, high-impact work spanning measurement foundations, identity and attribution signals, privacy-aware measurement, experimentation, lift and incrementality, conversion modeling, reporting quality, advertiser trust, and ecosystem integrations. The person in this role will work closely with Engineering, Product, Data Science, Applied Science, Design, Sales, and Marketing Science to define and execute a long-term roadmap for how Pinterest measures advertiser outcomes. The ideal candidate combines strong distributed systems and data platform expertise with sharp product judgment, a deep understanding of ads measurement, and the ability to influence across multiple teams.   What you’ll do: * Drive initiatives to improve conversion measurement architecture across web, mobile app, and offline/CRM signals * Apply AI to identify signal loss and improve measurement resilience * Use AI to build diagnostics and explainability tools for advertisers and internal teams * Strengthen experimentation, lift, and incrementality capabilities * Create shared measurement primitives used by optimization, reporting, and external APIs * Drive ecosystem integrations such as Conversion APIs, partner measurement hooks, and durable event ingestion pathways   What we’re looking for: * BS (or higher) degree in Computer Science, a related field or equivalent experience * 10+ years of software engineering experience, including significant experience leading large, ambiguous technical initiatives as a senior individual contributor * Strong track record of defining architecture and driving execution across multiple teams * Experience in one or more ads or measurement-related domains such as attribution, conversion tracking, experimentation, identity, reporting, privacy-safe systems, or causal inference platforms * Ability to move fluidly between high-level strategy and low-level technical details * Excellent communication and influence skills, with demonstrated ability to align cross-functional stakeholders * Preferred qualifications * Familiarity with challenges such as browser and platform signal loss, event quality, deduplication, attribution windows, delayed conversions, and modeled measurement * Experience partnering closely with data scientists and applied scientists on measurement methodology or model-backed systems * Experience building advertiser-facing or partner-facing systems where explainability and trust are critical * Strong product sense for balancing scientific rigor with practical usability and speed   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will require in-person collaboration in the office approximately three times per week. Candidates should be within commuting distance of one of the following offices: Seattle, Palo Alto, or San Francisco.   #LI-HYBRID  #LI-AG8 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $245,402—$429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Conversion Visibility pod enables a performant ads marketplace and helps prove value to advertisers by connecting on-Pinterest intent with offsite conversions in a privacy-preserving way. We are hiring a Staff Software Engineer to lead the backend architecture and implementation of a GenAI-powered Conversion Health agent, using Event Quality Scores and conversion data to proactively detect issues, recommend and automate fixes, and demonstrate measurable performance impact for advertisers.  What you’ll do:  * You’ll operate in a forward-deployed style, partnering directly with internal downstream teams that consume our conversion signal data to understand their workflows, build tailored solutions, and own them end-to-end from design through integration and iteration. * Own the design and implementation of the Conversion GenAI agent: services, data flows, and retrieval layers that let agents reason over EQS, conversion funnels, and their impact on performance at scale. * Evolve the existing GenAI Applications: harden prompts and tools, improve retrieval quality, add evaluation and safety checks, and make the agent reliable enough for always-on monitoring and decision support and make the impact on ad performance and efficiency clear. * Design how the sub-agent connects with downstream ads products (PCL, ROAS bidding) and internal tools, including APIs, contracts, and workflows that surface product‑aware alerts and ranked recommendations to identify opportunities and power performance lifts. * Consolidate and structure the measurement context layer—matched and attributed conversion tables, enrichment pipelines, and existing tools—into high-quality, AI-consumable signals the agent can query and reason over. * Partner with Product, Operations, Sales, and other ads product teams to translate measurement pain points into agent skills (e.g., diagnosing EQS drops, PCL readiness, partner‑specific issues) and iterate quickly on internal-first experiences before expanding to advertiser-facing use cases. * Lead an evolving GenAI culture and collaboration model across orgs: navigate ambiguity in a rapidly changing AI landscape to identify high-ROI patterns, codify pragmatic guardrails and workflows, and evolve how we collaborate so AI tooling translates into sustained gains in engineering velocity, measurement quality, and advertiser performance—not just isolated experiments.   What we’re looking for: * 8+ years of backend or full-stack software engineering experience building large-scale distributed systems, services, and data pipelines, ideally in ads, measurement, or similar data-intensive domains. * Proven track record shipping GenAI- or ML-powered products end-to-end (agent or model integration, retrieval, evaluation, safety/guardrails, and online/offline metrics). * Required prior ads domain expertise, preferably in measurement, including conversion tracking, attribution, signal enrichment pipelines, and familiarity with concepts like ROAS, CPA, and campaign optimization. Strong bias toward business outcomes, with a track record of tying technical work to performance, measurement quality, and operational efficiency metrics. * Strong proficiency in product scoping, data analysis and experimentation (e.g., SQL over large datasets, experiment design, cohort analysis) to connect conversion-health interventions to performance outcomes like ROAS, CPA, and PCL validity. * Demonstrated technical leadership across teams: scoping ambiguous problems, aligning with product and XFN partners, and driving complex initiatives from vision through launch with clear documentation and communication. * Experience upleveling engineers in AI tooling and best practices, including setting team-wide standards, templates, or processes for building and evaluating AI-assisted workflows. * Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.     Relocation Statement:  * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement:  * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1 time per week and therefore needs to be in a commutable distance from one of the Seattle offices.   #LI-Hybrid #LI-KK6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $177,185—$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Coupang

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다.  쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다.  쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요.   직무 개요: Coupang Ads는 쿠팡 내에서 광고 플랫폼을 담당하는 조직입니다. 세계 곳곳에 분산되어 있는 조직인 Coupang Ads는 쿠팡 플랫폼에서 상품을 판매하는 업체들을 위한 광고 솔루션을 제공하는 데 집중합니다. 디스플레이 광고, 검색 광고, 성과형 광고, 브랜딩 광고, 비디오 광고 등이 Coupang Ads가 제공하는 광고 솔루션에 포함됩니다.   Ads Analytics 팀은 쿠팡 광고 솔루션의 수익을 극대화하고 사용자가 광고에서 가치를 얻고 전체 광고 비즈니스에 걸쳐 프로덕트 전략을 수립할 수 있도록 지원합니다. 데이터를 통합하여 실행 가능한 통찰력을 제공하고, 복잡한 비즈니스 질문에 답변하며, 고객에 대한 심도 있는 이해를 돕고 있습니다. 우리는 Ecommerce 뿐 아니라 Eats앱에서의 쿠팡 광고 사업에 초점을 맞추고 있으며, KPI를 분석하고, A/B 및 다변수 테스트 이니셔티브의 성공을 분석함으로써 이를 수행하고 있습니다.   담당 업무: Coupang Ads의 Staff Data Scientist 로서 다음의 업무를 담당하게 됩니다.      * 제품 및 수익화 전략: 다양한 입찰 및 수익화 모델을 개발하고 테스트하며, 변화가 수익에 미칠 수 있는 영향을 시뮬레이션합니다. * 지표: 상품 채택, 사용, 성과 및 이탈에 대한 보고에 사용되는 일련의 핵심 성과 지표(KPI)를 제공합니다. 그룹의 수익화 노력이 효과가 있는지 파악할 수 있도록 가시성을 제공합니다. * 예측: 인벤토리 및 수익 예측 모델을 수익 최적화 프로세스의 중요한 구성 요소로 설계 및 유지, 관리합니다. 판매 패턴을 분석하여 동향을 파악하고 재무 예측을 지원합니다. * A/B 테스트: A/B 테스트를 설계, 수행, 분석 및 인사이트를 발굴하여 상품 이터레이션에 대해 알리고 우선순위를 정합니다. 통계적 엄밀성을 가지고 이를 수행하고 시험 결과 동인에 대한 "왜?"라는 질문에 대답하기 위해 코호트 연구를 수행합니다. * 간결한 스토리 전달 – 테스트 완료 시 시의적절하고 설득력이 있으며 사실에 기반한 테스트 내용을 정리해 데이터와 테스트 결과에 숨겨진 비즈니스 “스토리를” 강력히 전달합니다.   기본 자격 요건: 이상적인 후보자는 광고 데이터 분석, 비즈니스 분석, 재무 분석, 시장 조사 및 경영진 보고를 수행하는 데이터 과학자로서 8년 이상의 경험을 가진 분입니다. * 뛰어난 SQL  활용 역량 * 탁월한 정량적 분석 스킬 * 우수한 프레젠테이션 및 커뮤니케이션 스킬  * 매우 체계적이고 디테일 중심적인 사고  * 빠른 속도로 움직이는 조직에서 여러 이해 관계자를 위해 다수의 프로젝트를 동시에 관리할 수 있는 역량  * 학사 학위 소지자   우대 사항: * 광고기술 / 광고(검색, 디스플레이, 브랜딩, 리타겟팅, 소셜미디어, 스트리밍 비디오 등), 디지털 마케팅, 광고 에이전시 또는 관련 도메인에서의 경험 * 통계 분석을 위한 Python 또는 R 활용 역량 * Hive, Presto, Airflow  * 기술 분야 석사학위 소지자  * 통계 분야 경험이 많은 분 * 데이터 시각화 (예: Tableau, Qlik, Looker, Power BI)  * 머신 러닝 경험   전형 절차 및 안내사항 전형 절차 1. 서류전형 > 1차 면접 > 2차 면접 > 처우협의 2. 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 3. 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 참고 사항 1. 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 2. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 3. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 4. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 개인정보 처리방침 1. 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. 2. https://www.coupang.jobs/kr/privacy-policy 서류 반환 정책 1. 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다. 2. 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. 3. 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. 4. 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일 간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 5. 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.     Role Overview: Coupang Ads is the advertising platform team within Coupang. We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform. This includes display, search, performance, brand and video ads offerings.   Ads Analytics team maximizes revenue from Coupang advertising solutions and helps our user get value from ads. We are responsible for helping drive product strategy across entire ads business. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. Our focus is on Coupang’s ads business on E-commerce as well as Eats app and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives.   What you will do: As a Staff Data Scientist at Ads, you will be responsible for -      * Product and Monetization strategy: develop and test various auction and monetization models. Provide simulations of the possible impact of changes to be introduced on revenue  * Metrics: deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group’s monetization efforts  * Forecasting: design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecasting  * A/B Testing: design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer “why?” on test result drivers * Tell a Concise Story – At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business ‘story’ behind the data and test outcomes.   Basic Qualifications: The ideal candidate has 8+ years of experience as an Analyst performing ads data analysis, business analysis, financial analysis, market research, and executive reporting.  * Strong SQL   * Python or R for statistical analysis * Hive, Presto, Airflow  * Excellent quantitative analysis skills  * Strong communication skills  * Highly organized and detail-oriented  * Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization  * Bachelors’ degree     Preferred Qualifications: * Strong statistics background  * Data visualization (e.g., Tableau, Qlik, Looker, Power BI)  * Machine Learning experience  * Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains.  * Master's degree in a technical field    Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.   Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. * Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.   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/en/privacy-policy/   Document Return Policy * This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. * A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. * A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. * In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. * Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.   Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.