Senior Data Scientist

Uplers Solutions Private Limited.; India; Remote; INR 4,000,000 - 6,000,000; Full time

Job summary

Uplers Solutions Private Limited. is seeking a hands-on Senior Data Scientist to design and deploy ML-driven pricing and promotion solutions for a retail/CPG/E‑commerce context.

You will lead pricing optimization, demand forecasting, and product matching using text and images, while building scalable Databricks pipelines and APIs. You will mentor junior data scientists, collaborate with cross-functional teams, and translate business needs into data-driven strategies that maximize revenue and

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 4+ years of hands-on experience in Machine Learning and Data Science.
• Strong background in mathematics, probability, statistics, and regression analysis.
• Strong SQL skills and experience working with relational databases and data warehouses.
• Familiarity with Large Language Models (LLMs) & Agentic AI designs.
• Strong programming expertise in Python, including Pandas, NumPy, Object-Oriented Programming, Scikit-learn, TensorFlow or similar ML frameworks
• Experience working with PySpark and large-scale data processing systems.
• 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 & Pricing strategy, Promotion optimization.
• Experience with MLOps platforms and deployment pipelines such as Databricks:
• Cloud Machine Learning / AI platforms - Google Vertex AI, Azure Machine Learning, Amazon SageMaker (any)
• Experience building and maintaining CI/CD pipelines for ML workflows.

Responsibilities

• Lead the design, development, and deployment of scalable machine learning solutions focused on pricing optimization, demand forecasting, and promotion planning, product matching using text & images.
• Build and improve statistical and machine learning models for: - Demand forecasting - Price elasticity modeling - Promotion optimization - Inventory and revenue forecasting - Product Matching (LLM and agent-based solutions)
• 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

Ci/Cd Pipelines

Python

SQL

Pyspa

Databricks

LLM

Agentic AI

Agent ai

Time Series

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field

Tools

PySpark

Flask

Job description

Experience: 4.00 + years

Salary: INR 4000000-6000000 / year (based on experience)

Expected Notice Period: 30 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Veltrix)

*(*Note: This is a requirement for one of Uplers' client - Veltrix)

What do you need for this opportunity?

Must have skills required:

Ci/Cd Pipelines, Python, SQL, Pyspa, Databricks, LLM, Agentic AI, Agent ai, Time Series

Veltrix is Looking for:

• 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, product matching using text & images.
• Build and improve statistical and machine learning models for:
• - Demand forecasting
• - Price elasticity modeling
• - Promotion optimization
• - Inventory and revenue forecasting
• - Product Matching (LLM and agent-based solutions)
• 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.
• 4+ 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 SQL skills and experience working with relational databases and data warehouses.
• Familiarity with Large Language Models (LLMs) & Agentic AI designs.
• Strong programming expertise in Python, including Pandas, NumPy, Object-Oriented Programming, Scikit-learn, TensorFlow or similar ML frameworks
• Experience working with PySpark and large-scale data processing systems.
• 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 & Pricing strategy, Promotion optimization.
• Experience with MLOps platforms and deployment pipelines such as Databricks:
• Cloud Machine Learning / AI platforms - Google Vertex AI, Azure Machine Learning, Amazon SageMaker (any)
• Experience building and maintaining CI/CD pipelines for ML workflows.

Interview Process

• L1- Technical Coding
• L2- Interview with VP, AI & Engineering
• L3- Founder Discussion