$150,000 – $190,000
Listed on Confido’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A data scientist role building predictive models for consumer goods brands—forecasting demand, measuring promotion impact, and shipping production-ready analyses. This suits someone with statistical depth who wants to see their work influence real retail decisions across 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
- Time Series Analysis
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What they ask for
Required
- 3–5+ 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 (Snowflake and dbt)
- Ability to validate analysis, sanity-check results, and communicate uncertainty
- Ability to 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 (hierarchical forecasting, intermittent demand)