[Remote] Data Scientist 5 - Infrastructure Experimentation

Note: The job is a remote job and is open to candidates in USA. Netflix is a company dedicated to entertaining the world through innovative storytelling and technology. They are seeking a Senior Data Scientist focused on Infrastructure Experimentation to partner with engineering teams to measure, model, and analyze the infrastructure impact of product experiments, ultimately aiding in decision-making related to A/B tests.ResponsibilitiesBuild and maintain machine learning models that predict the infrastructure cost impact of A/B experiments, translating experimentally observed signals (e.g., request volume changes) into business and system metrics (e.g. projected annualized costs)Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and trainingPartner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our modelsExtend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests)Champion an infrastructure lens within the broader experimentation community, helping shift culture toward reasoning about the full ROI and infrastructure impact of experimentsConnect with the larger analytics and experimentation communities at Netflix to bring visibility to our work and learn from othersSkillsExperienced in experimentation methodology and causal inference, with a strong foundation in A/B testing, treatment effect estimation, and statistical significanceExperienced in building and maintaining machine learning models in production, including the full lifecycle of training, evaluation, monitoring, and continuous improvementFluent in Python and SQL, with experience engineering data pipelines and working with large-scale data systemsA strong collaborator who thrives in horizontal roles with broad stakeholder surfaces, comfortable influencing decisions through data and analysis rather than direct authorityAn exceptional communicator who can flex between technical and non-technical audiences, translating statistical concepts for software engineers and business leaders alikeComfortable with messy, incomplete data environments and able to balance short term execution with a drive to improve data quality over timeA strong product thinker who views data science outputs as products, taking an end-to-end ownership mindset from data quality through to user adoptionComfortable with ambiguity, and thrive with minimal oversight and processCurious about infrastructure systems; prior experience in the infrastructure domain is a strong plus but not required; the ability and motivation to learn is essentialBenefitsHealth PlansMental Health supportA 401(k) Retirement Plan with employer matchStock Option ProgramDisability ProgramsHealth Savings and Flexible Spending AccountsFamily-forming benefitsLife and Serious Injury BenefitsPaid leave of absence programsFull-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time offFull-time salaried employees are immediately entitled to flexible time offCompany OverviewNetflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https://www.netflix.com.Company H1B SponsorshipNetflix has a track record of offering H1B sponsorships, with 65 in 2026, 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.