Lead Data Scientist, Global Converse, ITC

s-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.