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OpenAI
OpenAI
201 – 500 Darbinieki
H1B vīzas sponsorsMākslīgais intelektsSaaSUzņēmums
OpenAI ir mākslīgā intelekta pētniecības un tehnoloģiju uzņēmums, kas izstrādā progresīvas mākslīgā intelekta sistēmas, īpašu uzmanību pievēršot drošībai un atbildīgai attīstībai. Uzņēmuma produktos ietilpst ChatGPT, kas palīdz veikt ikdienas un sarežģītus profesionālos uzdevumus, kā arī API platforma, kas ļauj uzņēmumiem un izstrādātājiem integrēt mākslīgā intelekta modeļus savās lietotnēs. Darbojoties mākslīgā intelekta, SaaS un uzņēmumu tehnoloģiju jomā, OpenAI apvieno pētniecību, produktu izstrādi un centienus uzlabot mākslīgā intelekta sistēmu pārvaldību un izmantošanu.
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Vakances uzņēmumā

Product Data Scientist, Youth and Learning

Guide product strategy and experimentation for OpenAI’s youth, family, and learning experiences. Measure adoption, retention, and learning outcomes to understand lasting user value.

USAmerikas Savienotās ValstisCAKalifornija
401 000 $ – 510 000 $ / gads
HibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonSQL

Apraksts

  • Lead product data science for younger audiences, family experiences, and learning and education.
  • Inform investment, product development, and how success is measured.
  • Translate audience needs and evidence into product strategy and promising use cases.
  • Connect early product discovery with adoption, retention, and lasting user value.
  • Collaborate with Chat Product, Growth, Foundations, SafeSys, and other teams.
  • Assess unmet needs and growth opportunities across audiences, use cases, and experiences.
  • Prioritize investments by user value, reach, evidence, and effort.
  • Build audience-specific measures for activation, task success, learning progress, satisfaction, and sustained retention.
  • Study user journeys, funnels, and cohorts to find sources of value, friction, and retention.
  • Combine behavioral data, surveys, and user research to explain differences by age, family role, and learning context.
  • Design experiments and holdouts to evaluate product and model changes.
  • Use causal methods when randomized tests are impractical, accounting for seasonality, audience mix, and segment differences.
  • Recommend which products or features to build, change, expand, or discontinue, with expected impact, uncertainty, and tradeoffs.
  • Evaluate whether product decisions deliver their intended results.
  • Work with engineering on instrumentation, data quality, and consistent audience definitions.
  • Develop reusable analyses and dashboards.
  • Align teams across roadmaps on audience value, priorities, success measures, and open questions.

Prasības

  • Demonstrated ability to shape product strategy and improve user outcomes through hands-on data science.
  • Experience turning ambiguous questions into decisions and measurable results.
  • Strong SQL and Python skills.
  • Sound statistical judgment.
  • Practical experience with experimentation, causal inference, cohort analysis, and measurement design.
  • Ability to define product value, validate imperfect proxies, and distinguish short-term metric changes from lasting gains.
  • Clear communication and strong product judgment.
  • Ability to make recommendations, explain limitations, and influence cross-functional partners without formal authority.
  • Ability to set priorities independently across a broad remit.
  • Experience in consumer product growth, youth or family products, learning and education, or generative AI is helpful.
  • Experience measuring learning outcomes, combining quantitative and qualitative research, or evaluating products with value that emerges over time is helpful.

Priekšrocības

  • Generous equity.
  • Performance-based bonuses for eligible employees.
  • Medical, dental, and vision insurance for employees and their families, with employer contributions to Health Savings Accounts.
  • Pre-tax Health FSA, Dependent Care FSA, and commuter accounts for parking and transit.
  • 401(k) retirement plan with employer match.
  • Paid parental leave of up to 24 weeks for birth parents and 20 weeks for non-birthing parents.
  • Paid medical and caregiver leave of up to 8 weeks.
  • Paid time off: flexible PTO for exempt employees and up to 15 days per year for non-exempt employees.
  • At least 13 paid company holidays.
  • Several coordinated paid office closures during the year.
  • Paid sick or safe time.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily meals at offices.
  • Meal delivery credits for eligible employees.
  • Relocation support for eligible employees.
  • Charitable donation matching.
  • Wellness stipends.
  • Overtime pay for non-exempt employees, in accordance with applicable laws.

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