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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

Senior Machine Learning Data Scientist, Consumer Forecasting

Build and operate forecasting systems that help OpenAI plan for user growth, revenue, compute demand, customer value, and profitability. The role connects machine learning research with product, finance, infrastructure, and business decisions.

USAmerikas Savienotās ValstisCAKalifornija
347 000 $ – 445 000 $ / gads
HibrīdiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonPyTorchScikit-LearnSQLTensorFlow

Apraksts

  • Create statistical and machine learning models to meet forecasting needs across product, finance, infrastructure, and go-to-market teams.
  • Lead the full modeling process, from scoping and feature design through development, testing, deployment, monitoring, and explainability.
  • Build and deploy scalable, interpretable forecasts for user growth, monetization, compute demand, customer lifetime value, and profitability.
  • Help develop self-service forecasting tools and internal platforms.
  • Assess new forecasting methods and tools, including TimeGPT, LLM extensions, causal forecasting, and hybrid techniques.
  • Turn technical results into recommendations and decision frameworks aligned with business needs.
  • Work closely with product managers, researchers, engineers, and finance leaders.
  • Bring forecasts into planning, experimentation, and executive decision-making.

Prasības

  • Master’s or PhD in a quantitative discipline such as statistics, computer science, economics, or operations research.
  • At least seven years in applied data science, with substantial hands-on work in forecasting, predictive modeling, or marketplace systems.
  • Strong command of time-series forecasting and the practical trade-offs among accuracy, interpretability, and scale.
  • Proficiency in Python and SQL.
  • Experience with scikit-learn, PyTorch or TensorFlow, and forecasting libraries.
  • Track record of monitoring, troubleshooting, and maintaining models in production over time.
  • Clear communication and storytelling skills, including the ability to explain complex topics and influence executive stakeholders.
  • Able to lead ambiguous projects from inception through delivery, with initiative and intellectual curiosity.

Priekšrocības

  • Equity.
  • Performance-based bonuses for eligible employees.
  • Medical, dental, and vision coverage for employees and their families, with employer contributions to Health Savings Accounts.
  • Pre-tax Health FSA, Dependent Care FSA, parking, and transit accounts.
  • 401(k) plan with employer matching.
  • Paid parental leave of up to 24 weeks for birth parents and 20 weeks for non-birthing parents.
  • Up to eight weeks of paid medical and caregiver leave.
  • Flexible paid time off for exempt employees and up to 15 days per year for non-exempt employees.
  • At least 13 paid company holidays.
  • Several coordinated, paid company office closures during the year.
  • Paid sick or safe time.
  • Mental health and wellness support.
  • Employer-paid basic life and disability insurance.
  • Annual learning and development stipend.
  • Daily office meals and meal-delivery credits where eligible.
  • Relocation assistance for eligible employees.
  • Charitable donation matching and wellness stipends may also be available.

Saistītās vakances

OpenAI

Product Data Scientist, Youth and Learning

OpenAI
201 – 500 Darbinieki
H1B vīzas sponsorsMākslīgais intelektsSaaSUzņēmums
USAmerikas Savienotās ValstisCAKalifornija
401 000 $ – 510 000 $ / gads
HibrīdiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonSQL

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Johnson & Johnson

Director of Data Science, Generative AI for Neuroscience

Johnson & Johnson
H1B vīzas sponsorsBiotehnoloģijaFarmaceitiskie produktiVeselības aprūpe
USAmerikas Savienotās ValstisCAKalifornijaMAMasačūsetsaNJŅūdžersijaPAPensilvānija
164 000 $ – 282 900 $ / gads
HibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonSpring

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Johnson & Johnson

Director of Data Science, Generative AI in Neuroscience

Johnson & Johnson
H1B vīzas sponsorsFarmaceitiskie produktiVeselības apdrošināšanaVeselības aprūpe
USAmerikas Savienotās ValstisCAKalifornijaMAMasačūsetsaNJŅūdžersijaPAPensilvānija
164 000 $ – 282 900 $ / gads
HibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
Python

Lead generative and agentic AI initiatives for Johnson & Johnson’s Neuroscience R&D. Build scientific platforms spanning clinical, omics, molecular, and imaging data.

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Conga

Senior AI Data Scientist

Conga
1001 – 5000 Darbinieki
FinansesSaaSUzņēmums
USAmerikas Savienotās ValstisHibrīdiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
AWSAzureBigQueryDockerElasticsearchGoogle Cloud PlatformKubernetesMākonisPythonPyTorchRaySparkSQLTensorFlow

Research and deploy NLP, machine learning, and generative AI capabilities for Conga’s commercial operations and revenue lifecycle platform. Build intelligent solutions from experimentation through production.

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Headway

Senior Data Scientist

Headway
501 – 1000 Darbinieki
SaaSTirdzniecības vietaVeselības aprūpe
USAmerikas Savienotās ValstisCAKalifornijaNYŅujorkaWAVašingtona
180 000 $ – 225 000 $ / gads
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonSQL

Partner with product teams to turn healthcare data into experiments, causal insights, and predictive models. Help improve provider and patient experiences across Headway’s mental healthcare platform.

Atvērt