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About the Role
As a Senior Data Scientist, you will join and contribute to 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 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.
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 that improve model reliability and maintainability.
Requirements
- 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.
- 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.
Skills
- Python
- SQL
- Forecasting models
- Optimization techniques
- Demand planning
- Inventory optimization
- Simulation
- Decision science
- Databricks
- Snowflake
- Azure
- AWS
- GCP
- Agile delivery
- Product ownership
- Roadmap planning
- Measurable adoption strategies
Location
- Boston, MA Headquarters
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
- 2+ years of experience
Education Level
- BA/BS in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, or a related technical field.
- Masters or PhD in a technical field.
Salary/Compensations
- $82,000.00 - $105,800.00 - $129,600.00 Annual
Benefits
- Three options for medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- 401K
- Online learning and development courses
- Tuition reimbursement
- $100 monthly student loan support
- Various mentorship programs
- Yearly $1,000 lifestyle reimbursement
- 4 weeks of vacations
- 12 holidays
- Generous parental leave
- Associate discount
About the Company
- 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.
- 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.
Equal Opportunity
- 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.