Senior Manager of AI & Data Science

The Manager, of AI \& Data Science will architect and operationalize the data systems and predictive models that power experimentation, personalization, forecasting, and decision-making across Function of Beauty. This role defines how data flows into the business, ensuring unified, structured, and reliable inputs across DTC, retailer POS, CRM, and core business data environments.

This role is foundational to FoB’s future operating model: moving from static reporting toward scalable, predictive, automated intelligence. By building pipelines, models, and decision systems, this role enables faster testing within DTC, more accurate retail launch sizing, and stronger forecasting accuracy.

This is a hybrid role that requires working in our NYC office Monday through Thursday.

Functions \& Responsibilities

Data Architecture, Pipelines \& Infrastructure

• Build automated pipelines that ingest and unify DTC, POS, CRM, and product-level data into structured environments
• Establish a central customer-level and subscription-level attribute structure for segmentation, retention, targeted testing, and product planning
• Ensure datasets are model-ready, version-controlled, documented, and stable
• Partner with Engineering to deploy pipelines into durable production environments with governance and uptime standards

AI/ML Model Development

• Build and maintain predictive models for:
• Subscriber churn, cancellation risk, retention probability
• Demand forecasting and replenishment timing
• Loyalty segmentation \& lifetime value
• SKU-level recommendations
• Define and maintain model performance metrics and continuously refine based on live results
• Translate DTC learnings into predictive inputs that support:
• Assortment decisions
• Launch sizing
• Replenishment planning
• Quality risk monitoring
• Identify early signals that determine whether innovation should scale or pause

Analytics Automation

• Deliver model outputs into usable business interfaces (dashboards, automated tables, alerts, APIs)
• Build omni-channel measurement systems that unify retail \+ DTC performance
• Automate recurring business intelligence views, including:
• Subscriber health
• Demand volumes and forecasts
• Retention drivers and lift curves
• Performance trajectories across channels
• Convert predictive outputs into planning inputs used by Supply Chain, Finance, Labs, and Marketing

Business Enablement \& Strategic Influence

• Create scalable data environments that enable partners to self-serve analyses
• Package model outputs into actionable, business-friendly formats (e.g., risk scores, revenue sizing, cohort maps)
• Partner with Consumer Insights to:
• Validate datasets, cohort definitions, and sample sizes
• Support experiment and testing design with structured inputs
• Provide model-backed evidence that informs:
• Targeting strategies
• Forecasting and demand planning
• Revenue sizing and risk assessments

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field
• 5-7 years experience in data science, AI/ML engineering, predictive analytics, or data systems architecture roles
• Experience deploying production-level models (beyond prototyping)
• CPG, consumer goods, and digital commerce experience strongly preferred

Skills \& Competencies

• Advanced proficiency in statistical modeling, predictive analytics, and machine learning
• Strong proficiency with SQL, Python, AWS tools (e.g., Redshift, Dynamo)
• Experience designing automated data pipelines across multiple systems
• Ability to define performance metrics and iterate based on real-time outcomes
• Skilled at working cross-functionally and influencing decisions using model-based evidence
• Ability to balance near-term execution with longer-term architecture planning

Function of Beauty is an Equal Opportunity Employer and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.