CareerPlan

Data Scientist

NYC OfficeFull-time2026-08-24 → 2026-11-09
Based in United States

Core

Build production-grade ML models for sales forecasting, pricing, and promotion effectiveness using messy real-world retail data from 200+ CPG brands.

Role type

Senior IC data scientist (forecasting & causal inference)

Builds

Production ML models integrated into the Confido platform for demand planning and trade promotion analysis

Domain

CPG retail, supply chain, and demand planning

Deliverable

production ML models

Required skills

statistical modeling, time-series analysis, experiment design, uncertainty quantification, Python, SQL

Preferred skills

hierarchical forecasting, intermittent demand handling, production model deployment, retail/CPG domain knowledge

Technologies

Python, SQL, Snowflake, dbt, AWS

Responsibilities

Improve prediction quality for noisy retail time series, measure promotion lift and price elasticity, build statistical checks for data quality

Seniority

Mid-level, hands-on IC