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Data Scientist - Forecasting

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Onsite

Data Scientist - Forecasting

Newbalance Careers

Data Scientist - Forecasting

Skills

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2 days ago

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Important information


Contract type:

Permanent

Salary:

$82,000 – $105,800 / year

Location:

United States

Work mode:

Onsite

Published on:

22 October 2026

What they need


Who We Are: 

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.

Senior Data Scientist, Forecasting

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.

JOB MISSION : 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.

MAJOR ACCOUNTABILITIES:

In this role, you will:

  • 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.

REQUIREMENTS OF SUCCESS:

  • 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.

Boston, MA Headquarters - (NB) Only Pay Range: $82,000.00 - $105,800.00 - $129,600.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)

Regular Associate Benefits 

Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. 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.

Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount.

Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount.

Flexible Work Schedule

For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility.

Equal Opportunity Employer

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.

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