Note: The job is a remote job and is open to candidates in USA. Hypersonix Inc. is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. They are looking for a hands-on Senior Data Scientist with strong expertise in traditional Machine Learning, retail analytics, pricing optimization, and demand forecasting to design and scale ML-driven pricing and promotion solutions.
Responsibilities
- Lead the design, development, and deployment of scalable machine learning solutions focused on pricing optimization, demand forecasting, and promotion planning
- Build and improve statistical and machine learning models for: Demand forecasting, Price elasticity modeling, Promotion optimization, Inventory and revenue forecasting
- Design, build and deploy robust ML pipelines in Databricks, build model monitoring systems, and production-ready APIs
- Ability to design and evaluate transformer-based time series forecasting models for large-scale retail sales forecasting and demand planning
- Drive experimentation, model evaluation, and continuous improvement of forecasting and pricing models
- Analyze large-scale structured and unstructured retail datasets to uncover trends, customer behavior patterns, and pricing insights
- Develop data-driven strategies that help maximize revenue, profitability, and pricing efficiency across products and categories
- Apply advanced statistical techniques and machine learning algorithms to solve complex retail business problems
- Collaborate closely with Product, Engineering, Data Engineering, and Business teams to translate business requirements into scalable ML solutions
- Mentor junior data scientists and provide technical guidance across cross-functional teams
- Communicate analytical findings and business recommendations clearly to both technical and non-technical stakeholders
Skills
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
- 5+ years of hands-on experience in Machine Learning and Data Science
- Strong background in mathematics, probability, statistics, and regression analysis
- Solid understanding of traditional machine learning algorithms and statistical modeling techniques
- Strong programming expertise in Python, including: Pandas, NumPy, Object-Oriented Programming (OOP), Scikit-learn, TensorFlow or similar ML frameworks
- Experience working with PySpark and large-scale data processing systems
- Strong SQL skills and experience working with relational databases and data warehouses
- Experience developing APIs and ML services using Flask or similar frameworks
- 5+ years of experience in Retail, CPG, or E-Commerce domains with expertise in: Demand forecasting, Price elasticity, Promotion optimization, Pricing strategy
- Experience with MLOps platforms and deployment pipelines such as: Databricks, Large Language Models (LLMs), Google Vertex AI, Amazon SageMaker, Azure Machine Learning
- Experience building and maintaining CI/CD pipelines for ML workflows
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