Data Science Intern
About The Position
The Data Science Intern will support the Strategic Modeling Team which leads the development of advanced analytics as part of the Data & Analytics team. There are two main projects that this intern will support. Leverage AI & LLMs to automate the gathering of producer-specific product and packaging data. The data will be used to support our validation of producer supply reports, increasing the accuracy of reporteddata and reducing the manual effort to research producer packaging formats. Support research into the cost for producers to reduce oreliminatetheir plastic packaging to inform our incentive mechanism to achieveouttarget of a 25% reduction in plastic packaging in California This is an excellent opportunity for someone who enjoys quantitative analysis, structured problem‑solving, data automation, and supporting companies to transition to a circular economy.
Requirements
- Strong analytical and quantitative skills; able to interpret complex datasets andidentifyactionable insights.
- Familiarity with data validation, governance, and data system integration best practices.
- Strong communicationand interpersonal skills, capable of engaging with diverse teams and stakeholders.
- Detail‑oriented with a commitment to accuracy, completeness, and compliance.
- Strong time‑management skills and ability to work with remote teams across multiple time zones.
- Ability to work independently and collaboratively in a dynamic, mission‑driven environment.
- Currently in a program to achieve aBachelor’s degree inData Science,Business Analytics, Engineering,SoftwareDevelopmentor related field.
- Experience withdata analysis,data cleansing, and data processing
- Experience with Excel and data visualization tools such as Power BI
- Experience with Python scripting, integrating with APIs, processing results from LLMs, and interacting with databases
Nice To Haves
- Interest in sustainability, recycling, or EPR systems is a plus.
Responsibilities
- Build and update scripts that will automate data gathering from generative AI tools about the specific products sold and packagingutilizedby each of our member producers.
- Process and classify data to ensure output matches standard categories
- Leverage clustering algorithms toidentifyproducers with similar reporting trends
- Compare actual producer reports to predictions andidentifypotential incorrect reports
- Integrate the output into tools and visualizations for other team members toutilizefor follow-up with producers
- Leverage internal and external experts toidentifyspecific opportunities for producers to reduce oreliminateplastic packaging including:
- Lightweighting
- Elimination of plastic components
- Shifting to a non-plastic package format
- Research and model costs for achieving the packaging reductions and calculate $/lbreduced, $/component eliminated
- Aggregate data, cluster by producer type and source reduction pathways
- Conduct analysis to assess fee impacts, materialspecific considerations, and producerlevel implications.
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What This Job Offers
Career Level
Intern
