Product Intern

Product Intern – Data Science x Product Ops

We’re on the hunt for curious, hands-on folks who thrive on solving real-world problems. You’ll start by getting your hands dirty — annotating images, clustering outlets, tagging data — the gritty work that powers our ML systems and builds domain depth. As you ramp up, youll move into more complex tasks: running experiments, writing logic, and shaping how our next-gen, ML-powered CPG tools behave. If youre analytical, adaptable, and excited about working at the intersection of data, tech, and product — we want to hear from you.

For one in the Seat:

Responsibilities:

• Analyze product and user behavior data to identify trends, gaps, and improvement opportunities
• Support product managers in performance tracking, product readiness, and user research.
• Execute critical groundwork like image annotation, outlet clustering, data tagging, and documentation
• Contribute to product experiments, testing, and model input/output validation
• Use Excel and internal tools to build dashboards, reports, and performance views
• Run analyses on internal platforms for insights and client-facing deliverables
• Leverage your data science foundation (Python, pandas, ML basics) to support model design and tooling
• Collaborate across product, design, engineering, and business teams to bring clarity to decision making.
  
  
  

• Strong problem-solving and analytical mindset
• Proficiency in MS Excel (pivot tables, formulas, charts, VLOOKUP) the usual
• Exposure to Python, pandas, Jupyter notebooks, or ML concepts — you don’t need to be a wizard, but you should be hungry to learn
• Comfortable with hands-on grunt work and iterative workflows
• Curiosity about how products are built, scaled, and improved through data
• Team player who communicates well and thrives in slightly chaotic but high-energy setups.
• Bonus: Prior exposure to SaaS, CPG, or product management