Data Scientist, Real Estate & Workplace

1 нед. назад

230k–342k USD / yearUSASeniorHybrid

analyticsforecastingexperimentationoptimization

Data Scientist role focused on supporting real estate and workplace operations with data-driven strategy and analytics.

Обязанности

We’re hiring a Data Scientist to support Real Estate & Workplace (REW), a fast-moving global team focused on creating workplaces that help ’s people do their best work while scaling the company’s real estate and workplace operations. Our work is grounded in understanding how people use space and services, collaborate across physical and digital environments, and experience the workplace.
REW’s scope spans portfolio strategy, design and construction, space planning, sustainability, workplace experience, and global operations. You’ll work comfortably across this broad, sometimes messy data landscape and build trusted relationships across the domain. The work informs high-impact decisions with immediate, visible effects—from where teams work and how space and services are allocated to which investments move forward and how workplace experiences evolve. This is a high-ownership Data Science role spanning analytical strategy and hands-on execution. Working at the forefront of AI-native analytics, you’ll help define the future of workplace operations at rather than follow an established playbook. You’ll shape REW’s Data Science roadmap, identify where forecasting, experim
In this role, you’ll be partnered closely with Finance, People Analytics, IT, and REW leaders. You’ll own problems end to end—from framing and prioritization through analysis, recommendation, delivery, adoption, and iteration—so the work drives measurable business outcomes.

Другое

Own ambiguous, high-impact problems end to end—from framing and prioritization through delivery, adoption, and iteration.
Define success metrics and build measurement, forecasting, experimentation, and optimization frameworks for decisions about people, spaces, and investments.
Develop and own agentic dashboards, reporting, models, and decision tools, ensuring they are trusted, governed, and agent-ready.
Connect 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.
Communicate assumptions, trade-offs, and recommendations clearly to technical, operational, and executive stakeholders.
Ability to thrive in ambiguity, take ownership, and balance rigor with speed.
Familiarity with AI-assisted analytics, collaboration technologies, and operational platforms.
Experience in Data Science or Decision Science, ideally in operational, financial, workplace, or internal-tools environments.
Strong grounding in applied statistics, causal inference, forecasting, and model evaluation; fluent in SQL and Python.
Proven ability to turn messy, broad datasets into high-impact decisions and measurable outcomes.
Enthusiasm for pioneering AI-native analytics and working with agentic dashboards and decision systems.
Exceptional communication skills across operators, engineers, cross-functional partners, and senior leaders.
Nice to Have
Experience building operational automation or decision systems for prioritization, forecasting, or optimization.
Experience analyzing human behavioral or organizational-network data from workplace sensors and collaboration technologies such as messaging, meetings, calendars, or workplace platforms.
Experience creating analytical, measurement, or governance frameworks in fast-changing environments.
is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see ’s Affirmative Action and Equal Employment Opportunity Policy Statement .
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