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# Data Scientist - Forecasting

- **Company:** New Balance Athletics, Inc.
- **Location:** Boston, MA, United States
- **Experience:** Experienced
- **Salary:** $82,000 - $105,800
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Big Data, Python (Programming Language), Operational Databases, Standard Sql, Google Cloud, Snowflake, Information Technology, Optimization Algorithms, Machine Learning Operations, Databricks
- **Published:** October 23, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88679008/1

## About the Role

* 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.

## Description

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., 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.