Quick Summary
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 p
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
~2 min read- 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.
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.
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.
Location & Eligibility
About this job
- Pay per year
- $82,000–$105,800 a year
- 51% below the $190,000 median for Data Scientist jobs on Jobera (780 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 22, 2026
- First seen
- October 22, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 63%
- Scored at
- October 22, 2026
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