Senior Data Scientist — CPG Forecasting, Production & Equity

Confido Health, Inc.; New York (NY); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity

Fully paid health coverage through Aet

Top-tier dental and vision coverage

Carrot Fertility Pro

12 weeks of paid parental leave

Unlimited PTO

401(k) through Vestwell

Paid relocation support

Workspace stipend and equipment

Team perks

Job summary

Confido Health, Inc. is building an AI-driven platform for CPG brands to align finance, sales, and operations. As a Data Scientist, you will turn large, messy datasets into production-ready models that forecast demand, optimize pricing, and shape promotional strategy, directly impacting what ends up on store shelves.

You’ll collaborate with our AI/ML engineering team to move from exploratory analysis to production-grade insights, shipping models inside the product rather than slide decks.

Qualifications

• 5+ years of hands-on data science experience with real-world data.
• Strong statistical foundations: regression, time-series methods, experiment design, uncertainty quantification.
• Fluent in Python and SQL; comfortable working in a modern data stack (we use Snowflake and dbt).
• You care whether your analysis is right, not just whether it runs — you validate, sanity-check, and communicate uncertainty.
• You can explain a model to a non-technical brand operator and defend it to an ML engineer.

Responsibilities

• Demand and sales forecasting across thousands of noisy, real-world retail time series.
• Promotion effectiveness — measuring lift, price elasticity, and cannibalization.
• Data quality and evaluation — building checks to keep models honest as data flows in.

Skills

Data science

Time-series

Python

SQL

Experiment design

Communication

Tools

Snowflake

dbt

AWS

Python

SQL

Job description

Confido Health, Inc. is building an AI-driven platform for CPG brands to align finance, sales, and operations. As a Data Scientist, you will turn large, messy datasets into production-ready models that forecast demand, optimize pricing, and shape promotional strategy, directly impacting what ends up on store shelves.

You’ll collaborate with our AI/ML engineering team to move from exploratory analysis to production-grade insights, shipping models inside the product rather than slide decks.