Data Scientist - Forecasting

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 Data Science Team at New Balance is the center of excellence for data science across all aspects of our global retail business. We create value for New Balance through actionable data, engaging insights, and transformative AI technology. Data scientists at New Balance use a wide variety of techniques to make a positive impact in all aspects of the sport and fashion retail business including demand planning, customer service, marketing, ecommerce, and supply chain.

As a Senior Data Scientist, you will joinand contribute to our ongoing forecasting initiatives focused on improving the accuracy, scope, reach, and usability of forecasting methods on a global level.. You will be responsible for building and maintaining relationships with our business partners, developing and maintaining forecasting models solving both near-term and long-term challenges, and deploying forecasting results into machine- and human-usable formats.

Additionally, you will have the opportunity to identify additional areas outside of forecasting that you are interested in learning more about and using data to drive positive business outcomes.

• Develop and improve forecasting models for demand planning, allocation, assortment, inventory, and related planning decisions.
• Analyze demand, inventory, traffic, logistics, retail fashion, and sport-trend data to identify drivers of forecast performance.
• Translate business needs into modeling requirements and communicate model outputs in clear, actionable terms.
• Partner with engineering and MLOps teams to deploy, monitor, retrain, and maintain production forecasting models.
• Create reusable code, documentation, and tests that improve model reliability and maintainability.

• 2+ years of experience as a Data Scientist, ML Engineer, Forecasting Analyst, or similar role.
• Experience with forecasting models and optimization techniques across areas such as demand planning, inventory optimization, simulation, or decision science.
• Strong Python and SQL skills with experience building scalable, production-quality modeling workflows using large datasets.
• Strong problem-solving, communication, and stakeholder partnership skills.
• BA/BS in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, or a related technical field.
• Preferred qualifications include:
  Masters or PhD in a technical field.
• Practical data science experience in retail, consumer products, or supply chain.
• Experience with Databricks, Snowflake, Azure, AWS, GCP or similar cloud platforms.
• Experience building production data science products, APIs, dashboards, optimization engines, or decision-support tools.
• Familiarity with Agile delivery, product ownership, roadmap planning, and measurable adoption strategies.

Only Pay Range: $82,000.00 - $ - $ Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)

• 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 –…