Lead, Data Scientist - Converse
About The Position
The EBP Performance Operations & Insights team sits at the center of Enterprise Business Planning, translating enterprise performance data into actionable insights that power both in-season execution and long-range planning. We are evolving from reporting to decision-ready analytics at scale—enabling a single global view of performance while accounting for regional nuance. At the same time, we are helping to instill a culture of performance management across Converse—driving greater clarity, accountability, and consistency in how performance is measured, understood, and acted upon across the enterprise. The Lead, Data Scientist, EBP 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.
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
- 5+ years of experience in advanced analytics, data science, or related technical roles (retail/consumer preferred)
- Proficient in Python development (pandas, scikit-learn, statistical modeling, optimization)
- Advanced in SQL (data transformation, complex querying, data engineering concepts)
- Familiarity with cloud analytics environments and modern data stacks/ platforms (Data Bricks and Snowflake preferred)
- Practical application of AI/ML, including: Generative AI, LLM-based workflows, Agentic systems, Retrieval-Augmented Generation (RAG), Forecasting and predictive modeling
- Ability to rapidly prototype and scale solutions
- Advanced understanding of BI and visualization tools (e.g., Sigma preferred, Tableau)
- Demonstrated experience turning unstructured data into actionable insights
- Experience leading and owning complex projects
- Solid understanding of planning concepts such as demand, inventory, and seasonality a plus
Responsibilities
- 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
- Develop forward-looking analyses to identify trends, risks, and opportunities
- Build and scale analytics solutions that improve speed, automation, and consistency of insights
- Partner with Technology to enhance data quality, accessibility, and usability
- Contribute hands-on across data modeling, querying, and advanced analytics workflows
- Drive alignment on metrics, definitions, and reporting outputs across regions
- Translate complex analytical outputs into clear, executive-ready recommendations
- Leverage Python, SQL, machine learning, and emerging AI technologies to create scalable analytical products that accelerate decision-making across the enterprise
- Act as a strategic thought partner to Planning leaders, translating complex analytical findings into clear recommendations that drive growth, profitability, inventory productivity, and consumer outcomes
Benefits
- Information about benefits can be found here.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
