OpenAI17 дней назад
Data Scientist, Real Estate & Workplace
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РЫНОК
16 333 ₽медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьУдалёнка
Обязанности
- 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
Требования
- 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