OpenAI11 days ago
Machine Learning Data Scientist, Forecasting
Salary not specified
MARKET
15,866 ₽median for this role
Data Scientist · 112 jobs with disclosed pay
5,000half of the offers: 12,695–20,39643,793
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка
Responsibilities
- 01Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains
- 02Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
- 03Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability
- 04Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions
- 05Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches
- 06Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks
- 07Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making
Requirements
- 01Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
- 027+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems
- 03Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability
- 04Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries
- 05Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
- 06Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders
- 07Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1
What we offer
- 01Role is based in San Francisco, CA
- 02Hybrid work model of 3 days in the office per week
- 03Relocation assistance to new employees