Data Scientist - Demand & Sales Forecasting (Equity)

Confido Health; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health coverage (Aetna)

Dental and vision insurance

Fertility and family-forming support

Parental leave (12 weeks)

Unlimited PTO

401(k)

Relocation support

Workspace stipend

Team lunches and snacks

Job summary

Confido is an AI infrastructure company sat at the intersection of data science and supply chain for CPG brands. We seek a Data Scientist in NYC to turn large, messy datasets into production-ready models that power forecasting, pricing, and promotional strategy within our product.

You’ll join an AI/ML engineering team driving end-to-end insight, not slides. You’ll work on predicting demand, evaluating promotions, and ensuring data quality across 200+ brands, with model outputs feeding decisions

Qualifications

• 3–5+ years of hands-on data science experience with real-world data
• Strong statistical foundations: regression, time-series, experimentation
• Fluent in Python and SQL; comfortable with Snowflake and dbt
• Careful validation and communicating uncertainty in analyses
• Ability to explain models to non-technical stakeholders and defend to ML engineers

Responsibilities

• Demand and sales forecasting across thousands of time series
• Promotion effectiveness analysis: lift, elasticity, cannibalization
• Data quality and evaluation: build checks for messy data to keep models honest

Skills

Data science

Statistics

Modeling

Experiment design

Communication

Education

Bachelor's degree in a relevant field

Tools

Python

SQL

Snowflake

dbt

AWS

Job description

Confido is an AI infrastructure company sat at the intersection of data science and supply chain for CPG brands. We seek a Data Scientist in NYC to turn large, messy datasets into production-ready models that power forecasting, pricing, and promotional strategy within our product.

You’ll join an AI/ML engineering team driving end-to-end insight, not slides. You’ll work on predicting demand, evaluating promotions, and ensuring data quality across 200+ brands, with model outputs feeding decisions