Growth Data Scientist: Product Analytics & AI

Valerie Group; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Valerie is seeking a Data Analyst / Data Scientist to drive growth, commercial and product analytics, and AI-driven capabilities across Valerie's Brands and Investment Growth Platform. You will work on product analytics, modeling, experimentation, and data workflows using SQL and Python to turn complex business questions into actionable insights.

You will collaborate with Product, Engineering, and Data teams to operationalize models, shape AI outputs in product, validate decisions, and build

Qualifications

• 6–8 years of analytics or data science experience
• Ability to translate ambiguous business/product problems into structured data questions
• Experience with product metrics, funnels and user behavior analysis
• Modeling experience: classification, regression, forecasting, scoring
• Strong commercial acumen: CAC, AOV, COGS, margins, payback
• Technical stack: SQL, Python, structured/semi-structured data; Pandas/NumPy/Sklearn
• Experience deploying data products in production and working with cloud warehouses/dbt

Responsibilities

• Define and track key product metrics, funnels and feature performance
• Build and apply models for segmentation, scoring, classification and recommendations
• Partner with Engineering/Data teams to operationalize models and workflows
• Design and execute experiments including A/B tests and cohort analyses
• Define data requirements and ensure accurate, complete data tracking
• Own analytics projects end-to-end from problem framing to impact measurement

Skills

SQL

Python

Data analysis

Experimentation

A/B testing

Product metrics

Tools

pandas

NumPy

scikit-learn

Job description

Valerie is seeking a Data Analyst / Data Scientist to drive growth, commercial and product analytics, and AI-driven capabilities across Valerie's Brands and Investment Growth Platform. You will work on product analytics, modeling, experimentation, and data workflows using SQL and Python to turn complex business questions into actionable insights.

You will collaborate with Product, Engineering, and Data teams to operationalize models, shape AI outputs in product, validate decisions, and build