Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals.
We are looking for a hands-on Senior Data Scientist with strong expertise in traditional Machine Learning, retail analytics, pricing optimization, and demand forecasting. The ideal candidate will have experience working in Retail, CPG, or E-Commerce environments and will play a key role in designing and scaling ML-driven pricing and promotion solutions.
Roles and 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.
Requirements
- 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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