$250,000 – $300,000
Listed on Confido’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Confido is building AI infrastructure for consumer packaged goods companies, and this role involves developing statistical models for demand forecasting, promotional analysis, and pricing that directly influence product decisions. The position suits experienced data scientists who enjoy working with messy real-world retail data and want their analysis to ship into production systems serving major brands.
Our summary, not Confido’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Dialectical Behavior Therapy (DBT)
- Logistic Regression
- Python
- Snowflake
- SQL
- Statistical Analysis
Log in to see which of these are already on your profile.
What they ask for
Required
- 5+ years of hands-on data science experience with real-world data
- Strong statistical foundations including regression, time-series methods, experiment design, and uncertainty quantification
- Fluent in Python and SQL
- Comfortable with modern data stack tools like Snowflake and dbt
- Ability to validate analyses and communicate uncertainty
- Can explain models to non-technical stakeholders and defend them to engineers
Nice to have
- Experience with retail, CPG, supply chain, or demand-planning data
- Experience shipping models into production systems
- Familiarity with forecasting at scale including hierarchical forecasting and intermittent demand