Data Scientist/ Sr Data Scientist

Aria Intelligent Solutions; Delhi; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology consulting firm in Delhi is seeking a Data Scientist/Senior Data Scientist with expertise in price optimization, demand modelling, and forecasting. The ideal candidate will lead client-facing projects, develop advanced machine learning models, and collaborate with cross-functional teams to deliver actionable insights. Candidates should have a Master's or Ph.D. and 3-10 years of relevant experience in data science, particularly in FMCG or Retail. This full-time position offers opportunities for mentorship and innovation within a dynamic environment.

Qualifications

• 3–10 years of experience in data science with a focus on price optimization and demand forecasting.
• Proven experience in developing and implementing demand and price elasticity models.
• Strong communication skills to explain complex models to non-technical stakeholders.

Responsibilities

• Design and scale machine learning solutions for price optimization and demand forecasting.
• Lead end-to-end model development using PySpark and Databricks.
• Manage client interactions and ensure project delivery aligns with business goals.

Skills

Machine Learning

Data Analysis

Client Management

Python

Problem Solving

Education

Master’s or Ph.D. in Computer Science, Data Science, Statistics, Operations Research

Tools

PySpark

Databricks

XGBoost

Temporal Fusion Transformers

Job description

As a Data Scientist/Senior Data Scientist – Price Optimization, Demand Modelling & Forecasting, you will play a critical role in developing and deploying advanced machine learning models for price optimization, cannibalization impact analysis, and demand forecasting. In addition to your technical expertise, you'll be a key point of contact for client management—leading client‑facing projects and delivering actionable insights to address complex business problems. You will collaborate closely with cross‑functional teams, translating business requirements into scalable data solutions while ensuring alignment with client objectives. You’ll also mentor and guide junior data scientists, fostering a collaborative and innovative environment to ensure continuous learning and growth.

Role and Responsibilities

• Design, implement, and scale machine learning solutions for price elasticity, price and promotion optimization, cannibalization effects, and demand modelling/forecasting across FMCG and Retail sectors.
• Develop and validate models that quantify cross‑product impacts and substitution effects to optimize overall category performance.

Hands‑On Data Science

• Lead end‑to‑end model development using PySpark, Databricks, and other distributed computing environments for efficient large‑scale data processing and model training.
• Write modular, scalable code for model development using libraries such as pulp, cvxpy, Temporal Fusion Transformers, XGBoost, and time‑series modelling libraries.

Collaborative Problem Solving

• Work closely with cross‑functional teams to identify business challenges, define data‑driven solutions, and implement dynamic pricing, cannibalization, and forecasting tools.

Client Management

• Serve as the primary data science lead for client interactions—managing expectations, providing technical expertise, and presenting actionable, data‑driven insights.
• Ensure timely project delivery, alignment with business goals, and sustained client satisfaction.
• Continuously explore and test innovative approaches in price elasticity modelling, cross‑product cannibalization analysis, and demand forecasting.
• Drive innovation to improve existing pricing and forecasting frameworks for better commercial outcomes in the FMCG/Retail sector.
• Provide guidance and mentorship to junior data scientists, encouraging best practices in model design, coding, and documentation.

Skills and Experience

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, Operations Research, or related field.
• 3–10 years of experience in data science with a focus on price optimization, demand forecasting, and cannibalization modelling, preferably in FMCG or Retail.
• Strong experience in PySpark for large‑scale data processing and model deployment.
• Proven ability to develop and implement demand and price elasticity models, interpret cross‑product interactions, and deliver business impact.
• Strong problem‑solving skills and ability to translate quantitative findings into strategic recommendations.
• Excellent communication skills with the ability to explain complex models to non‑technical stakeholders.
• Demonstrated experience managing client relationships and delivering results in cross‑functional, fast‑paced environments.

Ideal

• Experience with cloud platforms (AWS, GCP, Azure) for scalable model development and deployment.
• Familiarity with MLOps and automated deployment pipelines for pricing and forecasting models.
• Published work or contributions in areas such as pricing optimization, demand modelling, or retail analytics in reputed journals or conferences.

Job Details

Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Technology, Information and Internet and IT Services and IT Consulting