WHO YOU’LL WORK WITH
This role typically reports to a Senior Manager, Software Engineering within Global Converse ITC.
Global Converse ITC Data Science, Analytics, Engineering, and Architecture teams
Nike Global Technology (Enterprise Data & Analytics, ML Platform teams)
Product Management, Marketplace, Planning, Demand & Supply, Finance, Consumer Insights, and Digital teams
External analytics partners and platform vendors
WHO WE ARE LOOKING FOR
We are seeking a Lead Data Scientist who will drive advanced analytics, predictive modeling, and machine learning solutions across Converse’s global digital and enterprise ecosystem. You bring deep technical expertise combined with business acumen, enabling you to translate complex data into actionable insights and high-impact models. You thrive in ambiguous environments, collaborate naturally with cross-functional partners, and elevate data maturity through innovation, quality, and thoughtful leadership.
Details on qualifications:
Bachelor’s degree in related field. Will accept any suitable combination of education, experience and training.
6+ years of experience in data science, machine learning, applied statistics, or advanced analytics.
Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
Experience deploying ML models into production environments and working with cloud platforms (AWS, Azure, or GCP).
Expertise in predictive modeling, optimization, experimentation, and advanced statistical methods.
Strong understanding of data engineering concepts, feature stores, and ML Ops principles.
Familiar with Databricks, Snowflake and other database foundational tools.
Experience with visualization tools and storytelling for technical and non-technical audiences.
Ability to work cross-functionally, influence stakeholders, and translate complex analysis into actionable strategies.
Strong communication skills, curiosity, ownership mindset, and commitment to quality.
WHAT YOU’LL WORK ON
Develop, deploy, and maintain machine learning models that accelerate decision-making across product, marketplace, consumer, and operational teams.
Partner with engineering, analytics, and product teams to build scalable data science pipelines and integrate models into production environments.
Conduct exploratory analysis, identify meaningful patterns, and translate findings into clear narratives and recommendations.
Build predictive and optimization models for demand forecasting, pricing, allocation, personalization, supply chain optimization, and business performance.
Ensure model quality through rigorous testing, validation, drift monitoring, and performance measurement.
Drive experimentation frameworks, A/B testing design, and causal inference models to inform product and business strategy.
Collaborate with Nike Technology partners to align with enterprise data, ML, and platform standards.
Mentor junior and mid-level data scientists and analysts, fostering excellence in modeling, coding, and problem-solving.
Evaluate new tools, frameworks, and techniques; lead proofs of concept and guide strategic adoption of data science capabilities.
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
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What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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