OpenAI3 days ago
Data Scientist, Real Estate & Workplace
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
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Responsibilities
- 01Own ambiguous, high-impact problems end to end—from framing and prioritization through delivery, adoption, and iteration
- 02Define success metrics and build measurement, forecasting, experimentation, and optimization frameworks for decisions about people, spaces, and investments
- 03Develop and own agentic dashboards, reporting, models, and decision tools, ensuring they are trusted, governed, and agent-ready
- 04Connect data from workplace sensors, collaboration tools, operations, and financial systems—while identifying and integrating novel data sources—to guide decisions about space, services, employee experience, and investments
- 05Communicate assumptions, trade-offs, and recommendations clearly to technical, operational, and executive stakeholders
Requirements
- 01Ability to thrive in ambiguity, take ownership, and balance rigor with speed
- 02Familiarity with AI-assisted analytics, collaboration technologies, and operational platforms
- 03Experience in Data Science or Decision Science, ideally in operational, financial, workplace, or internal-tools environments
- 04Strong grounding in applied statistics, causal inference, forecasting, and model evaluation; fluent in SQL and Python
- 05Proven ability to turn messy, broad datasets into high-impact decisions and measurable outcomes
- 06Enthusiasm for pioneering AI-native analytics and working with agentic dashboards and decision systems
- 07Exceptional communication skills across operators, engineers, cross-functional partners, and senior leaders
- 08Experience building operational automation or decision systems for prioritization, forecasting, or optimization
- 09Experience analyzing human behavioral or organizational-network data from workplace sensors and collaboration technologies such as messaging, meetings, calendars, or workplace platforms
- 10Experience creating analytical, measurement, or governance frameworks in fast-changing environments