Data Scientist - Forecasting

New Balance•Boston, MA

1d•Hybrid

About The Position

The Data Science Team at New Balance is a center of excellence for data science across its global retail business, using actionable data, insights, and AI technology in areas including demand planning, customer service, marketing, ecommerce, and supply chain. The Senior Data Scientist will contribute to global forecasting initiatives by improving the accuracy, scope, reach, and usability of forecasting methods. The role involves building relationships with business partners, developing and maintaining forecasting models for near- and long-term challenges, and delivering forecasting results in formats usable by both machines and people. The associate may also explore other areas where data can drive positive business outcomes. The role is based at New Balance’s Boston, Massachusetts headquarters and follows a North American hybrid work model. Associates currently work in the office three days per week, Tuesday through Thursday. The company also offers four weeks per calendar year of “Work from Anywhere.”

Requirements

At least 2 years of experience as a Data Scientist, ML Engineer, Forecasting Analyst, or in a similar role.
Experience with forecasting models and optimization techniques in areas such as demand planning, inventory optimization, simulation, or decision science.
Strong Python and SQL skills.
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.

Nice To Haves

Master’s 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.

Responsibilities

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 to improve model reliability and maintainability.
Build and maintain relationships with business partners and contribute to forecasting initiatives at a global level.

Benefits

Three medical insurance options, dental insurance, vision insurance, life insurance, and 401(k).
Online learning and development courses.
Tuition reimbursement.
$100 monthly student loan support.
Mentorship programs.
$1,000 yearly lifestyle reimbursement.
Four weeks of vacation.
12 holidays.
Generous parental leave.
Hybrid work schedule and four weeks per calendar year of Work from Anywhere.
Office amenities at North American office locations.