{"schemaVersion":"jobsearcher.job.v1","id":"8fa438f400aa02632b539f89","url":"https://jobsearcher.com/jobs/8fa438f400aa02632b539f89","canonicalUrl":"https://jobsearcher.com/jobs/8fa438f400aa02632b539f89","title":"Staff Engineer - Data Engineering - Attribution - AdTech","description":"Responsibilities\n\nDevelop and implement advanced attribution models to analyze and attribute the impact of various marketing channels on user conversion.\n\nCollaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies.\n\nDesign and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data.\n\nWork closely with stakeholders to understand and translate business requirements into technical solutions.\n\nConduct A/B testing and performance analysis to validate and iterate on attribution models.\n\nStay updated on industry trends and emerging technologies related to attribution modeling and ad tech.\n\nQualifications\n\nBachelor’s or Master’s in Computer Science, Data Science, or a related field.\n\nRequires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years.\n\nProven experience in attribution modeling within the ad tech industry.\n\nStrong programming skills in Python, Java, or Scala.\n\nExperience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite).\n\nProficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).\n\nHands‑on experience with orchestration tools like Airflow or similar.\n\nSolid understanding of statistical concepts and experience with relevant tools.\n\nExcellent problem‑solving and communication skills.\n\nPreferred Qualifications\n\nExperience with machine learning techniques for attribution modeling.\n\nFamiliarity with real‑time data processing and streaming technologies.\n\nKnowledge of end‑to‑end digital advertising ecosystems and industry standards.\n\nKnowledge of Snowflake and related technologies.\n\nCalifornia Only\n\nCompensation for this role is expected to be between $200,000 and $230,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.\n\nHybrid\n\nPlease visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.\n\nAt Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\n\nSamsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.\n\n#J-18808-Ljbffr","company":"Samsung","rawCompany":"samsung","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:22:06.997Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"516210","title":"Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers","slug":"media-streaming-distribution-services-social-networks-and-other-media-networks-and-content-providers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541810","title":"Advertising Agencies","slug":"advertising-agencies"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Engineer - Data Engineering - Attribution - AdTech","description":"Responsibilities\n\nDevelop and implement advanced attribution models to analyze and attribute the impact of various marketing channels on user conversion.\n\nCollaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies.\n\nDesign and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data.\n\nWork closely with stakeholders to understand and translate business requirements into technical solutions.\n\nConduct A/B testing and performance analysis to validate and iterate on attribution models.\n\nStay updated on industry trends and emerging technologies related to attribution modeling and ad tech.\n\nQualifications\n\nBachelor’s or Master’s in Computer Science, Data Science, or a related field.\n\nRequires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years.\n\nProven experience in attribution modeling within the ad tech industry.\n\nStrong programming skills in Python, Java, or Scala.\n\nExperience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite).\n\nProficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).\n\nHands‑on experience with orchestration tools like Airflow or similar.\n\nSolid understanding of statistical concepts and experience with relevant tools.\n\nExcellent problem‑solving and communication skills.\n\nPreferred Qualifications\n\nExperience with machine learning techniques for attribution modeling.\n\nFamiliarity with real‑time data processing and streaming technologies.\n\nKnowledge of end‑to‑end digital advertising ecosystems and industry standards.\n\nKnowledge of Snowflake and related technologies.\n\nCalifornia Only\n\nCompensation for this role is expected to be between $200,000 and $230,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.\n\nHybrid\n\nPlease visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.\n\nAt Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.\n\nSamsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:22:06.997Z","dateModified":"2026-07-16T03:22:06.997Z","hiringOrganization":{"@type":"Organization","name":"Samsung","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8fa438f400aa02632b539f89"},"url":"https://jobsearcher.com/jobs/8fa438f400aa02632b539f89"}}