Data Scientist – Machine Learning at Hypersonix.ai (Senior Track)

Apply for the remote Senior Data Scientist position at Hypersonix.ai (India). Design and scale machine learning solutions for pricing optimisation, demand forecasting, price elasticity modelling, and ML pipelines using Python, PySpark, and Databricks.

About the Company: Hypersonix.ai

Hypersonix.ai is an enterprise-grade, Silicon Valley AI platform disrupting the global e-commerce, retail, and Consumer Packaged Goods (CPG) spaces. Hypersonix was built from the ground up with cutting-edge technology to simplify data consumption and deliver real-time business insights and advanced decision capabilities. The platform enables major brands to eliminate operational uncertainty, automate pricing strategies, and maximise revenue through automated intelligence.

This high-impact position is anchored within the global Data Science & Core Machine Learning Division. Operating as a remote-first team across India, this group designs, scales, and deploys the production-ready statistical engines and predictive algorithms that drive automated profit decision-making worldwide.

About the Role: Senior Data Scientist (Pricing & Demand Forecasting)

Are you a seasoned data scientist who thrives on solving complex mathematical puzzles like price elasticity, multi-horizon demand forecasting, and inventory risk optimisation? Hypersonix.ai is hiring a hands-on Senior Data Scientist – ML to join its expanding engineering team in a Full-Time, Remote (India) framework. This senior professional track is purpose-built for technical specialists bringing 5+ years of production-grade Machine Learning experience deeply rooted in the Retail, CPG, or E-commerce domains.

As a Senior Data Scientist, you will own the end-to-end lifecycle of scalable machine learning engines. Your daily focus will center on building traditional machine learning systems, deploying transformer-based time series models, and architecting price elasticity engines. Working directly with Databricks and PySpark, you will construct robust ML pipelines, write production-grade APIs using Flask, and deploy end-to-end ML Ops monitoring networks. You will also serve as a technical mentor to junior data scientists, translating complex client business needs into production-ready software solutions.

Key Responsibilities & Advanced ML Workflows

• Algorithmic Pricing & Forecasting Architecture: Lead the end-to-end design, construction, and deployment of scalable machine learning models focused on price elasticity, demand forecasting, promotion planning, and inventory optimisation.

• Time Series Engineering: Design, implement, and evaluate transformer-based time series forecasting models to handle large-scale retail sales planning and multi-category data structures.

• Production Pipeline & API Construction: Build and deploy high-throughput ML pipelines inside Databricks, and wrap models into production-ready Flask APIs for seamless software integration.

• Big Data Manipulation: Analyse and clean massive, multi-channel structured and unstructured retail datasets using PySpark, SQL, Pandas, and NumPy.

• ML Ops & Model Telemetry: Establish robust model monitoring frameworks and automated feedback loops to trace model drift, evaluate accuracy, and drive continuous performance upgrades.

• Strategic Revenue Modelling: Apply advanced statistical mechanics, probability distributions, and regression analyses to design category-level markdown and profit-maximisation strategies.

• Cross-Functional Technical Leadership: Partner closely with Product, Engineering, and Data Engineering squads to translate complex commercial constraints into scalable technical solutions, while mentoring junior data scientists.

Candidate Prerequisites & Key Technical Skills

Successful candidates must demonstrate a strong balance of advanced statistical math, elegant object-oriented code, and deep domain expertise in retail market dynamics.

Required Experience & Educational Baseline:

• Professional Tenure: 5+ years of verified hands-on experience explicitly dedicated to Data Science, Machine Learning execution, and production software deployment.

• Domain Expertise: 5+ years of deep immersion inside the Retail, CPG, or E-commerce sectors—specifically solving demand forecasting, price elasticity, and promotion optimisation problems.

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Core Technical Stack Requirements:

• Advanced Python Engineering: Exceptional mastery of Python, including Object-Oriented Programming (OOP), Pandas, NumPy, Scikit-learn, and foundational frameworks like TensorFlow.

• Distributed Big Data Engines: Practical proficiency using PySpark alongside strong SQL skills to query enterprise data warehouses.

• ML Ops Platforms & Deployment: Hands-on familiarity building and maintaining CI/CD workflows and deployment configurations inside Databricks, or related ML Ops ecosystems (e.g., Google Vertex AI, Amazon SageMaker, Azure ML).

• Service Delivery Frameworks: Direct experience writing and maintaining web service APIs using Flask or similar micro-frameworks.

Core Position Specifications

• Position Title: Senior Data Scientist – Machine Learning

• Hiring Organisation: Hypersonix.ai

• Corporate Work Location: Full-Time, Remote (India)

• Experience Allotment: 5+ Years of specialised retail machine learning industry track

• Remuneration Allotment: Competitive package matching senior market standards (Not Disclosed)

• Employment Framework: Full-Time, Permanent corporate assignment

• Functional Focus: Price Elasticity Modelling, Transformer Time Series, ML Ops, and Databricks Pipelines

• Industry Placement: Enterprise AI Software / E-commerce Technology / Retail Analytics

• Functional Department: Data Science & Analytics