Prologis, Inc. is the global leader in logistics real estate. In partnership with our customers and our communities, we develop modern, high-quality properties that set the standard for innovative building design and sustainability. Prologis owns or has investments in properties and development projects of ~1.2 billion square feet in 19 countries and enables 2.8% of the world’s GDP. We have committed to achieve net zero emissions by 2040. Beyond real estate, our Essentials platform optimizes the company’s global asset portfolio to provide our customers solutions that address today’s warehouse and shipping challenges. Prologis Ventures invests in logistics innovation and technology companies to modernize supply chains worldwide.
Job Title:
Senior Data Scientist
Company:
Prologis
A day in the life
Join our high-impact Advanced Analytics team at the forefront of innovation in the Industrial Real Estate industry. As a Senior Data Scientist, you’ll partner with global stakeholders to solve complex problems, optimize operations, and drive strategic value through data. This role offers the opportunity to shape industry standards while delivering cutting-edge solutions—from predictive modeling to generative AI.
Key responsibilities include:
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Partner with cross-functional teams to identify business challenges, translate them into analytical problems, and develop data-driven solutions that optimize company-wide processes and drive strategic value.
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Tackle a wide range of problems such as demand forecasting, financial and operational modeling, process automation, and portfolio optimization—adapting quickly to changing priorities and timelines that range from quick-turn pilots to long-term strategic projects.
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Build end-to-end data science solutions, including exploratory data analysis, modeling, validation, deployment, and monitoring for continuous performance. Define evaluation frameworks and custom KPIs in collaboration with stakeholders to measure business value and model performance.
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Conduct in-depth statistical analysis, run experiments, and create dashboards to monitor performance, validate hypotheses, and communicate actionable insights to stakeholders that can drive strategic decision making.
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Design and implement Generative AI solutions using prompt engineering, foundation model fine-tuning, or domain-specific customizations to streamline operations and improve customer experience.
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Communicate technical concepts clearly and effectively to a wide range of business stakeholders, including senior leaders, using the language and context relevant to their domains.
In addition to above, senior-level candidates are expected to:
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Lead projects with minimal supervision and take ownership of delivery and impact.
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Mentor peers and support best practices in solution design and stakeholder engagement.
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Proactively explore emerging trends in AI/ML and help shape the team’s innovation roadmap.
Building blocks for success
Required:
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5+ years of experience in a quantitative, technical work environment (will consider candidates with lesser years of experience with advanced degrees).
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Strong analytical and problem-solving skills, with experience applying machine learning, statistical modeling, and experimentation techniques to complex business challenges.
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Deep understanding of machine learning concepts, including commonly used models (e.g., regression, tree-based models, clustering, neural networks), training frameworks, validation strategies, and performance metrics.
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High comfort level with modern data/statistical programming languages (SQL, R, Python, etc.) as well as data visualization tools.
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Ability to translate business needs into analytical frameworks, and clearly explain technical concepts to non-technical stakeholders at all levels.
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Adaptability and curiosity, with the ability to quickly learn new domains, switch contexts, and work across a diverse set of problems in a fast-paced environment.
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Exposure to Large Language Models, including hands-on experience with prompt engineering, fine-tuning, or integration into business workflows, is a strong plus.
Preferred:
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Proven track record of leading projects independently and delivering measurable business impact.
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Experience mentoring peers or junior team members.
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Ability to design evaluation frameworks and influence decision-making through thought leadership.
Hiring Salary Range of: $134,000 - $170,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
People First
Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.
When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.
As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.
All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.
All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.
Employment Type:
Full time
Location:
San Francisco, California
Additional Locations:
Cerritos, California, Denver, Colorado, Milpitas, California, Newport Beach Office, Ontario, California, Toronto, Ontario, Canada
Top Skills
Prologis Cerritos, California, USA Office
17777 Center Court Dr. N, Suite 100, Cerritos, CA, United States, 90703
Prologis El Segundo, California, USA Office
2141 Rosecrans Avenue, Suite 1151, El Segundo, CA, United States, 90245
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