Data Scientist - MADE Operations

Made Operations Data Scientist

Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.

The Made Operations Data Scientist will enable a more data-driven, digitally native culture across the Made In USA team by applying advanced analytics, statistical modeling, and data science techniques to solve operational challenges. This role supports cross-functional operations—spanning product development, engineering, planning, purchasing, and logistics—by delivering actionable insights, leading metric development, and building predictive models and alerting systems. The ideal candidate combines technical excellence in data science and data engineering with a deep understanding of footwear and apparel manufacturing, and the ability to translate complex data into clear, impactful business decisions.

Major responsibilities include:

• Develop and maintain Power BI dashboards and reporting systems that surface key operational metrics and drive visibility across the Made organization.
• Build and deploy analytical models to forecast performance, identify bottlenecks, and optimize processes across product development, manufacturing, planning, and logistics.
• Design and maintain semantic data models that enable scalable, self-service analytics and support advanced querying and analysis.
• Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for operational improvement.
• Collaborate with cross-functional stakeholders to frame business problems as data science questions and deliver actionable insights.
• Implement alerting and monitoring systems that proactively flag deviations in performance or quality metrics.
• Partner with IT and data engineering teams to ensure robust data pipelines and infrastructure that support modeling and reporting needs.
• Validate and improve data quality across systems such as ERP, MES, PLM, and other operational platforms.

Requirements for success include:

• Minimum 2 years of experience in a data analytics or data science role within a brand that manufactures apparel and/or footwear.
• Proficiency in Python and open-source data science tools (e.g., Pandas, NumPy, Scikit-learn, Jupyter).
• Strong experience with Power BI, including DAX, data modeling, and dashboard design.
• Familiarity with manufacturing, supply chain, or product development data and systems.
• Experience designing semantic layers and integrating data from multiple sources (e.g., ERP, MES, PLM).

New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword – it's part of our culture.

New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.