{"id":2119324,"url":"https://alion.io/job/zoom-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3099,"name":"Zoom","domain":"zoom.com","url":"https://alion.io/company/zoom","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States","Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":207000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":307},"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"dbt","optional":true},{"name":"MLFlow","optional":true},{"name":"Snowflake","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-11T00:05:38Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Immigration sponsorship is not available for this position.\nWhat you can expect\nYou will build production machine-learning systems that predict customer growth and retention signals. You will partner across engineering, sales, and product teams using scalable MLOps practices. You will directly influence revenue strategy through automated, data-driven scoring and insights.\nAbout the Team\nOur team delivers predictive intelligence that drives revenue growth decisions. We collaborate across data engineering, product, and go-to-market functions. We exist to turn product usage data into actionable business outcomes.\nResponsibilities\nBuilding and deploying end-to-end machine learning models - from exploration through production - that score customer expansion likelihood and churn risk, directly informing revenue strategy.\n\nDesigning and maintaining automated pipelines for model retraining, monitoring, and incident response, ensuring prediction accuracy and system reliability at scale.\n\nPartnering with engineering and product teams to define telemetry schemas and data contracts, ensuring high-quality inputs that support longitudinal user behavior modeling.\n\nConducting exploratory analyses and experiments to diagnose conversion changes, validate product hypotheses, and deliver actionable recommendations to senior leadership.\n\nCommunicating findings and model outcomes to cross-functional stakeholders, translating complex results into clear narratives that guide sales, product, and customer success decisions.\n\n What we’re looking for\n7+ years in product analytics or applied data science\n\nDemonstrate deep proficiency in Python (including ML libraries) and SQL for data modeling, analysis, and production model development.\n\nShow experience building, deploying, and monitoring machine learning models in production environments with real business impact.\n\nApply solid foundations in statistics, experimentation design, and causal inference to ambiguous business problems.\n\nExhibit experience working with product telemetry or event-stream data to model user behavior and lifecycle transitions.\n\nCommunicate complex technical findings clearly to non-technical stakeholders, including senior leadership.\n\n Nice to have:\nOperate MLOps platforms (such as MLflow, SageMaker, or Vertex AI) and data transformation tools (such as dbt or Snowflake), or demonstrate equivalent practical experience.\n\nBring experience with model serving frameworks, data quality tooling, or observability platforms in a SaaS environment.\n\nGuide early-career team members through code review, pairing, and knowledge sharing to elevate collective team capability.\n\nSalary Range or On Target Earnings:\nMinimum:\n$124,000.00Maximum:\n$271,200.00\n\nIn addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.\nNote: Starting pay will be based on a number of factors and commensurate with qualifications & experience.\nWe also have a location based compensation structure; there may be a different range for candidates in this and other locations\nAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!\nAnticipated Position Close Date:\n10/09/26Ways of Working\nOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.\nBenefits\nAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.\nAbout Us\nZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.\nWe’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.\nOur Commitment\nAt Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we’re here to support you at every step.\nIf you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.\nOur interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. 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