About Metreecs
We are a Y Combinator–backed startup bringing AI to the retail industry! Our predictive models and data pipelines help retailers optimize stock, increase revenue, and streamline supply chains. We value innovation, agility, and a doer mindset.
About the Role
As part of the data team, you'll help shape and maintain the infrastructure that powers our forecasting models, while ensuring smooth integration for new clients. This is a hands-on role where thoughtful problem-solving and careful implementation make a real difference.
What You’ll Do
- Design & Build ETL Pipelines: Extract, transform, and load data from diverse sources (CSV, APIs, databases) into our data warehouse
- API Integration: Develop and maintain integrations with third-party systems to streamline data flows for both R&D and client setups
- Cross-functional Collaboration: Partner with the AI team to prepare training data, and with the onboarding team to support client data ingestion and custom reports
- Ad Hoc Analytics & Modeling: Use SQL, Python, Pandas, Polars, and ML libraries to explore datasets, prototype models, and deliver insights for client missions
We Expect You To Have
- Experience with SQL and Python, including hands-on work with Pandas and ML libraries
- Familiarity with ETL concepts and building data pipelines
- Experience working with APIs (REST, JSON) and integrating external data sources
- Knowledge of relational databases (e.g., PostgreSQL)
- Flexible, solution-oriented mindset
- Strong communication skills to collaborate effectively with technical teams and clients
Bonus points
- Track record of hackathon participation
- Experience with Kaggle competitions
Why Join Metreecs?
- Startup Experience: We're a small team with a lot of room for ownership. You'll learn and ship more here than at any traditional company.
- Support & Growth: Learn from seasoned AI researchers and product experts, with mentorship tailored to your interests
Ready to dive into full-stack data science and make a real difference in retail? Apply now and help us build the future of inventory intelligence!
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