About the Role
The role involves designing and implementing data science solutions to support product development and sustainability analytics, working closely with engineering and domain experts to translate business needs into scalable models.
Responsibilities
- Develop and deploy machine learning models to extract insights from complex datasets
- Collaborate with software engineers to integrate models into production systems
- Analyze large-scale environmental and supply chain data to identify patterns and risks
- Translate business requirements into quantitative research questions
- Design experiments and evaluate model performance rigorously
- Support the creation of data products that enhance user decision-making
- Maintain and improve data pipelines for model training and inference
- Conduct statistical analysis to validate assumptions and measure impact
- Work with domain specialists to ensure model relevance and accuracy
- Document methodologies and share findings with technical and non-technical stakeholders
- Optimize algorithms for scalability and efficiency
- Stay current with advancements in data science and sustainability metrics
- Contribute to the improvement of data quality and availability
- Participate in defining roadmap priorities for data science initiatives
- Ensure compliance with data governance and privacy standards
- Mentor junior team members in best practices and technical approaches
- Evaluate third-party data sources for integration potential
- Support the validation of model outputs against real-world benchmarks
- Use programming languages such as Python or R for data analysis
- Apply natural language processing techniques when needed
- Work with cloud-based infrastructure for data storage and computation
- Contribute to the design of dashboards and visualization tools
- Assist in writing technical specifications for new features
- Engage in peer review of code and modeling approaches
- Promote reproducibility and version control in analytical workflows
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexibility for remote and office presence
Team
Collaborative environment within a cross-functional technology and sustainability team
Why This Role Matters
This position plays a key role in advancing data-driven sustainability solutions by turning complex data into actionable intelligence, directly influencing product capabilities and customer outcomes.
Our Tech Stack
We use Python, PostgreSQL, Docker, Kubernetes, and cloud services to build scalable data applications. Our machine learning workflows are supported by modern MLOps tooling and automated pipelines.
Available for qualified candidates requiring work authorization
