Senior Forecasting Scientist – Global Retail, Hybrid

newbalance; United States; Hybrid; USD 82,000 - 130,000; Full time

Benefits offered by this job

Medical Insurance (3 options) and Meid

Dental & Vision insurance

401K with company match

Student loan support $100/month

Lifestyle reimbursement $1,000/year

Vacation 4 weeks, 12 holidays, Parenta

Associate discounts

Job summary

New Balance is seeking a Senior Data Scientist focused on forecasting to advance global demand planning and inventory optimization. You will build and maintain forecasting models, collaborate with business partners, and deploy scalable solutions across the company’s retail ecosystem.

The role emphasizes cross-functional collaboration with Data Science, Engineering, and MLOps, leveraging Python/SQL and cloud platforms.

Qualifications

• 2+ years of experience as a Data Scientist, ML Engineer, Forecasting Analyst, or similar role.
• Experience with forecasting models and optimization techniques across 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 related technical field.

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 outputs clearly to stakeholders.
• 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.

Skills

Python

SQL

Forecasting

Data storytelling

Stakeholder partnership

Education

BA/BS in Data Science/CS/Math/Engineering

Masters/PhD (preferred)

Tools

Databricks

Snowflake

Azure

AWS

GCP

Job description

New Balance is seeking a Senior Data Scientist focused on forecasting to advance global demand planning and inventory optimization. You will build and maintain forecasting models, collaborate with business partners, and deploy scalable solutions across the company’s retail ecosystem.

The role emphasizes cross-functional collaboration with Data Science, Engineering, and MLOps, leveraging Python/SQL and cloud platforms.