Lead, Data Scientist - Converse

Nike; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Converse seeks a Lead, Data Scientist to advance global analytics and embed sophisticated capabilities into planning workflows from Boston. You will partner with cross-functional stakeholders to deliver scalable, decision-ready insights blending business context with technical execution.

You will drive end-to-end analytics, forecast trends, and translate complex outputs into actionable recommendations that support growth, inventory productivity, and consumer outcomes.

Qualifications

• 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, Retrieval-Augmented Generation (RAG).
• Forecasting and predictive modeling; ability to rapidly prototype and scale solutions.

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.
• Act as a strategic thought partner to Planning leaders, translating findings into clear recommendations.

Skills

Data science

Python

SQL

Machine learning

Time-series modeling

Communication

Lead cross-functional teams

Tools

Snowflake

Data Bricks

Tableau

Sigma

Job description

Lead, Data Scientist, Performance Operations & Insights

Location: Boston, MA

Become Part of the Converse Team

Converse is a place to explore potential, break barriers, and push the edges of what can be. We look for people who can grow, think, dream, and create-bringing skills and passion to a constantly evolving world.

About Our Team

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 Role

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.

What You'll 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
• 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

Role 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

Qualifications

• 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