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Confido is an AI infrastructure platform serving 200+ CPG brands (OLIPOP, Simple Mills, Dr. Squatch, Tropicana) to unify finance, accounting, sales, and operations. The company is growing 5x year-over-year with a small team in NYC.
As a Data Scientist, you'll build production-grade models and analyses that directly ship into the product, not remain as exploratory work. You'll work alongside the AI/ML engineering team to turn messy, real-world retail data into actionable insights.
Key responsibilities:
- Develop demand and sales forecasting models across thousands of noisy retail time series
- Measure promotion effectiveness, including lift, price elasticity, and cannibalization effects
- Build statistical validation and data quality checks to maintain model integrity as data flows through the system
Required qualifications:
- 3–5 years of hands-on data science experience with real-world datasets
- Strong statistical foundations: regression, time-series methods, experiment design, uncertainty quantification
- Fluent in Python and SQL; comfortable with modern data stacks (Snowflake, dbt)
- Ability to validate, sanity-check, and communicate uncertainty in analyses
- Can explain models to non-technical stakeholders and defend them to ML engineers
Bonus experience:
- Retail, CPG, supply chain, or demand-planning domain knowledge
- Shipping models into production systems
- Forecasting at scale (hierarchical forecasting, intermittent demand)
Tech stack: Python, SQL, Snowflake, dbt, AWS.
Compensation includes equity, 100% covered health insurance, fertility support, 12 weeks paid parental leave, unlimited PTO, 401(k), relocation support, and team perks.
