Lead, Data Scientist – Converse

Role Overview

The Lead, Data Scientist, Performance Operations & Insights is a Boston-based role responsible for advancing global analytics and embedding more sophisticated technical capabilities into planning workflows. This role partners with numerous cross-functional stakeholders to deliver scalable, decision-oriented insights—blending business context, analytics, and technical execution to improve how performance is understood and acted upon across the enterprise.

What You Will Do

Deliver and evolve global performance insights across demand, inventory, product, and channel views, translate complex or ambiguous business questions into structured, scalable analytics solutions + insights, and build and scale analytics solutions that improve speed, automation, and consistency of insights.

Why It Might Be a Fit

This role plays a critical part in advancing Converse’s transformation toward a more data-driven, performance-oriented organization. As the business continues to navigate an increasingly dynamic marketplace, the Lead, Data Scientist, Performance Operations & Insights helps ensure decisions are grounded in timely, trusted, and actionable insights.

Requirements

• Strong technical foundation in data manipulation, modeling, and large-scale data analysis
• Significant experience applying advanced analytical methods such as regression analysis, time-series modeling, cohort analysis, or optimization techniques
• Ability to design and evaluate models that surface patterns, forecast outcomes, or quantify risk and opportunity
• Proven experience using analytical rigor, AI-enabled methods, and rapid experimentation to solve complex business problems in imperfect data environments
• Experience working with imperfect or incomplete data and building structured approaches to improve signal quality
• Proficiency in querying, data transformation, and building reusable analytical workflows
• Experience developing scalable solutions that move from one-off analysis to productionized outputs
• Ability to frame ambiguous business problems into analytically tractable approaches
• Strong communication skills, with the ability to clearly explain methodologies, assumptions, and implications to non-technical stakeholders
• Experience partnering cross-functionally, balancing priorities across numerous stakeholder groups
• Curious, adaptable, creative problem-solving mindset
• Strong attention to detail and accountability for delivery

Tagged as: Data Analysis