Sr. Data Scientist – Demand Forecasting, O9 Platform

Texas L P•Marlborough, MA

8d•Hybrid

About The Position

Join our Global Supply Chain team at Helen of Troy and make an immediate impact on our trusted brands: OXO, Hydro Flask, Osprey, Honeywell , PUR , Braun , Vicks , Hot Tools, Drybar , Curlsmith , Revlon , and Olive & June . Together, we build innovative and useful products that elevate people's lives everywhere every day. Look around your home, and you'll find us everywhere, in your kitchen, living room, bedroom, and bathroom. We are already making your everyday lives better. We are powered by knowledgeable, enthusiastic, and forward-thinking people committed to developing a culture of inclusion. Whether you are just starting your career or in need of a challenge, we recognize, develop, and empower talent! We are looking for a Sr. Data Scientist to design and implement advanced analytics and machine learning solutions to solve real-world business problems, particularly in supply chain and planning. You will work closely with cross-functional teams to build scalable models and deliver impactful insights.

Requirements

Strong communication and presentation skills
Ability to work collaboratively in cross-functional teams
Transparent and proactive communication style
Bachelor’s degree in computer science, Mathematics, Statistics, Engineering, Economics, or related field
4+ years in data science or analytics, with hands-on experience in time series forecasting at scale
Strong experience with forecasting methods such as exponential smoothing, ARIMA, Prophet, and custom model tuning
Experience in supply chain analytics (demand planning, supply planning, inventory optimization, pricing, market intelligence)
Solid proficiency and demonstrated experience with Python and/or R
Strong understanding of statistical modeling, machine learning algorithms, feature engineering, and model optimization
Experience building scalable ML frameworks and working with large datasets
Ability to travel domestically/internationally (up to 5%)
Ability to attend early morning and evening calls as required
Authorized to work full time in the United States

Nice To Haves

Experience in retail, CPG or manufacturing

Responsibilities

Apply machine learning techniques such as clustering, regression, ensemble learning, neural networks, and time series modeling to business problems
Develop and optimize models for demand forecasting, anomaly detection, optimization (heuristics, linear programming, genetic algorithms), and simulation
Leverage the latest AI/ML advancements to drive business value
Analyze complex problems, evaluate alternative approaches, and clearly communicate results with assumptions
Work with business metrics such as Forecast Accuracy, Bias, and MAPE, and create new metrics as needed
Build and optimize modules for real-time integration with external systems via web services
Collaborate with clients, project managers, architects, consultants, and data engineers to ensure successful project delivery