Senior Data Scientist, ML
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Job Description
Senior Data Scientist leading machine learning initiatives for retail pricing optimization at Hypersonix. Designing scalable solutions to maximize revenue and profitability through data insights.
Responsibilities:
- Lead the design and delivery of scalable product features that enable data-driven pricing and promotion strategies to maximize revenue and profitability.
- Build and refine analytical models that integrate price elasticity, demand forecasting, and business insights across products, categories, and customer segments to support optimized pricing and promotion planning.
- Apply advanced data science, machine learning, and statistical techniques to solve key retail business challenges (e.g., forecasting accuracy, promotion effectiveness, inventory optimization) and translate analytical insights into actionable recommendations.
- Analyze structured and unstructured retail data to uncover trends, quantify customer price and promotion sensitivity, and inform commercial strategy.
- Partner with cross-functional teams throughout the development lifecycle to deploy and scale robust data solutions that meet business needs and drive measurable impact.
Requirements:
- Strong foundation in mathematics including linear algebra, probability & statistics.
- Solid understanding of hypothesis testing, regression analysis, and core machine learning algorithms, with at least 5 years of hands-on experience with Python(pandas, NumPy, OOP) as well as with PySpark, scikit-learn, Tensorflow or similar machine/Deep learning open-source software libraries.
- Proficient in SQL, with experience in Flask for API development and integration.
- 5+ years of experience in retail or CPG, with proven expertise in price elasticity modeling, demand forecasting, promotion optimization, pricing and other retail strategies.
- 3+ years of experience with MLOps (Databricks, Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, or similar), and CI / CD pipelines.
- 2+ years of experience in architecting, designing, developing, integrating, delivering, and supporting complex AI systems focused on pricing optimization and retail analytics.
- Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders.
- Exceptional communication and presentation skills, capable of conveying complex insights clearly and effectively to both technical and non-technical audiences.
- Bonus: Hands-on experience with generative AI tools and frameworks such as LLMs, LlamaIndex, and retrieval-augmented generation (RAG) for building intelligent data-driven solutions.
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