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We are seeking an experienced Senior Research Scientist to play a key role in our work to achieve our long-term sustainability and climate commitments. In this role, you will leverage your breadth of expertise in data science methodologies, statistical modeling, and scientific programming to analyze complex datasets, build scientific tools, and inform sustainability strategies across carbon, waste, and water management.You will be at the forefront of exploring and resolving complex sustainability issues, bringing innovative ideas to the table, and making meaningful contributions to projects across SSI’s portfolio. This role not only demands technical expertise but also a strategic mindset and the agility to adapt to evolving sustainability challenges through self-driven learning and exploration.Key job responsibilities
- Design and develop scientific scripts to solve complex problems and extract strategic insights from large datasets.
- Identify, optimize and leverage novel, large datasets to establish foundations for new workstreams.
- Influence cross-functional stakeholders through clear communication and high-quality technical deliverables.
- Lead early-stage strategic sustainability initiatives, driving stakeholder engagement to scale high-value projects.About the team
Diverse Experiences:
World Wide Sustainability (WWS) values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth:
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance:
- Proven experience developing and implementing forecasting and prediction models.
- 5+ years writing scientific scripts in Python
- 3+ years working with large datasets, including proficiency in SQL
- Track record of authoring peer-reviewed scientific publications
- Strong foundation in core data science skills (e.g., statistical analysis, machine learning, data visualization)
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithmsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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