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Sr. Data Scientist – Demand Forecasting, O9 Platform

Remote / Online - Candidates ideally in
Marlborough, Middlesex County, Massachusetts, 01752, USA
Listing for: Helen of Troy L P (Texas L P)
Remote/Work from Home position
Listed on 2026-06-27
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 103000 - 130000 USD Yearly USD 103000.00 130000.00 YEAR
Job Description & How to Apply Below

Sr. Data Scientist – Demand Forecasting (O9 Platform) – Global Supply Chain/COE

Work Location:

Marlborough, MA (hybrid)

Hybrid Schedule

In-office collaboration Tuesday through Thursday, with optional remote work on Mondays and Fridays. The schedule may vary with business needs.

What you will be doing
  • Design and implement advanced analytics and machine learning solutions to solve supply chain and planning problems.
  • Apply techniques such as clustering, regression, ensemble learning, neural networks, and time series modeling.
  • Develop and optimize models for demand forecasting, anomaly detection, optimization (heuristics, linear programming, genetic algorithms), and simulation.
  • Leverage AI/ML advancements to drive business value.
  • Analyze complex problems, evaluate alternative approaches, and communicate results with clear assumptions.
  • Work with business metrics such as Forecast Accuracy, Bias, and MAPE; 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.
Skills needed to be successful in this role
  • Strong communication and presentation skills.
  • Ability to work collaboratively in cross‑functional teams.
  • Transparent and proactive communication style.
Minimum Qualifications
  • Bachelor’s degree in computer science, mathematics, statistics, engineering, economics, or a related field.
  • 4+ years of experience in data science or analytics with hands‑on 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 in 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.
  • Authorized to work full‑time in the United States.
Preferred Qualification
  • Experience in retail, CPG, or manufacturing.
Salary

Base pay range: $103,000 – $130,000 annually (Massachusetts). Actual salaries vary by location, experience, skill level, and performance.

Benefits
  • Salary plus bonus
  • Health, dental, and vision insurance
  • Paid holidays and paid parental leave
  • 401(k) with company match
  • Basic life insurance, short‑term disability, long‑term disability
  • Paid time off (PTO)
  • Paid charitable leave and educational assistance
Equal Opportunity/Affirmative Action Employer

Helen of Troy is an Equal Opportunity/Affirmative Action Employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

We will provide individuals with disabilities reasonable accommodations to participate in the job application process. If you would like to request an accommodation, please contact Human Resources at (915) 225‑8000.

Travel and Work Requirements
  • Ability to travel domestically and internationally up to 5%.
  • Ability to attend early morning and evening calls as required.
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