NIKE, Inc

Lead, Data Scientist - Converse

NIKE, Inc$126K — $258K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in advanced analytics, data science, or related technical roles, preferably in retail/consumer industry.
  • Proficient in Python development with libraries like pandas and scikit-learn.
  • Advanced in SQL for data transformation and complex querying.
  • Familiarity with cloud analytics environments like Data Bricks and Snowflake is preferred.
  • Practical application of advanced AI/ML concepts including generative AI and predictive modeling.

Responsibilities

  • Deliver and evolve global performance insights across various business dimensions.
  • Translate complex business questions into scalable analytics solutions.
  • Develop analyses to identify trends, risks, and opportunities in performance.
  • Build analytics solutions that enhance speed, automation, and consistency of insights.
  • Partner with Technology to improve data quality and usability.
  • Contribute hands-on to data modeling and advanced analytics workflows.
  • Drive alignment on metrics and reporting outputs across different regions.

Benefits

  • Collaborative work environment fostering cross-functional partnerships.
  • Opportunities for professional growth and development in a dynamic marketplace.
  • Involvement in shaping the future of analytics at the organization.
  • Access to modern data tools and environments to enhance operational efficiency.
Full Job Description
The annual base salary for this position ranges from $126,700.00 in our lowest geographic market to $258,400.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.

Lead, Data Scientist, Performance Operations & Insights

Location: Boston, MA

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
  • 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


Why This Role Matters

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. By combining deep analytical expertise with an understanding of planning and enterprise priorities, this role enables leaders to identify risks and opportunities earlier, improve alignment across functions and geographies, and make more informed decisions that drive growth, profitability, and operational efficiency. Beyond delivering insights, this role helps shape the future of analytics at Converse by building scalable solutions, embedding AI-enabled capabilities into planning processes, and reinforcing a culture of performance management where outcomes are measured consistently, accountability is clear, and data drives action across the enterprise.

About NIKE, Inc

Nike is a sporting goods company that designs, develops, and markets footwear, apparel, equipment, and accessory products. The company offers various categories of shoes including running, training, basketball, soccer, sport-inspired urban shoes, and kids' shoes. It also provides shoes for aquatic activities, baseball, football, cheerleading, golf, lacrosse, outdoor activities, skateboarding, tennis, volleyball, walking, wrestling, and various athletic and recreational uses. In addition, the company offers sports-inspired lifestyle apparel, athletic bags, and accessory items. Further, it provides a line of performance equipment including bags, socks, sports balls, eyewear, timepieces, electronic devices, bats, gloves, protective equipment, golf clubs, and various equipment designed for sports activities under the NIKE brand name, as well as markets apparel with licensed college and professional team and league logos. Additionally, it offers licenses to produce and sell NIKE brand swimwear, children's apparel, training equipment, eyewear, electronic devices, and golf accessories. The company also markets its products under the brand names of Converse, Chuck Taylor, All Star, One Star, Umbro, Jack Purcell, Cole Haan, Bragano, and Hurley. It sells its products to retail accounts through stores, independent distributors, and licensees, as well as through its Website, nikestore.com. As of May 31, 2009, Nike, Inc. operated 338 retail stores in the United States and 336 retail stores internationally. The company was founded in 1964 and is headquartered in Beaverton, Oregon.

Nike Careers

Join the dynamic world of Nike, Inc., a global leader in sports apparel and innovation, where your career can flourish in an environment that fosters diversity, leadership, and growth. At Nike, we believe in bringing out the best in our team members through continuous professional development and a culture that celebrates creativity and innovation. Work You’ll Do Become a part of Nike’s mission to inspire and innovate towards a better world. Engage in work that intersects with cutting-edge technology, market-leading strategies, and sustainable practices that define the future of the sports industry. Lead with us at the forefront of the global marketplace, where your skills in leadership, teamwork, and innovation can shine. Nike offers a unique position in the industry, combining deep industry expertise with a relentless pursuit of excellence. Collaborate with a diverse team of professionals who are pioneers in their fields. Nike, Inc. employs over 75,000 passionate and talented individuals worldwide, all dedicated to moving the world of sports forward. Introducing Nike’s Professional Growth and Development Opportunities We are committed to fostering an inclusive environment where every team member can succeed. Nike offers a variety of job opportunities, from in-store retail positions to corporate roles in design, marketing, and technology. Do Innovative Work Join us and contribute to our mission of bringing inspiration and innovation to every athlete* in the world. (*If you have a body, you are an athlete.) Deliver targeted solutions and drive innovation through your unique perspective and skills. At Nike, Inc., your work directly contributes to our global impact. Be Part of a Great Team Engage in meaningful work that connects with consumers and impacts millions worldwide. Our team benefits from unparalleled capabilities, a commitment to diversity training, and a culture that encourages professional growth and networking. Future-Proof Your Career Advance your career with Nike’s comprehensive benefits and support systems. We provide extensive training, development programs, and leadership courses to help you reach your full potential. Explore Discover how Nike is leading in sustainable innovation and pushing the boundaries of what’s possible in the sports industry. The Nike Employment Experience Our combined efforts in innovation, culture, and leadership make Nike, Inc. not just a place to work, but a place to grow a rewarding career. Clients and employees alike look to Nike for new strategies and impactful solutions in a rapidly evolving industry. Stay Connected Join Our Team Search for open positions that match your skills and interests. We are always on the lookout for curious, driven, creative, and solution-oriented team players. SEARCH NIKE JOBS Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding opportunities that await at Nike, Inc.
Learn more about NIKE, Inc
Size
73,300 employees
Market Cap
$184.6 billion
Industry
Net Income
$2.8 billion
Founded
1964
5 Year Trend
+6.3%
Revenue
$38.2 billion
NASDAQ

Similar Jobs

More Jobs at NIKE, Inc

More Enterprise Technology Jobs

Find similar Lead, Data Scientist - Converse jobs: