Remote Data Scientist (CPG/FMCG)

Title: Data Scientist (FMCG/CPG)

Location: Remote in India

Duration: 9 month contract

Independent Contracting - no benefits allocated while on contract

Start Date: ASAP

Working Hours: 8:00-5:00pm IST

This is an immediate requirement with our client, therefore we are unable to consider those with notice period's longer than 30 days. Ideal notice period is IMMEDIATE, or within 30-days.

Required Skills & Experience

• 7+ years experience as a data scientist

• Strong programming skills in Python, SQL, PySpark

• Hands-on experience with Azure Databricks and Azure Data Factory for big data processing and automation. • Experience in Power BI for data visualization and dashboard development.

• Strong understanding of pricing analytics, price elasticity modeling, and promotional ROI measurement.

• Strong communication skills to collaborate effectively with business and technical teams.

Nice to Have Skills & Experience

• Familiarity with time series forecasting and predictive modeling for pricing strategies. • Knowledge of A/B testing and causal inference techniques for promotions analysis.

Job Description

We are seeking a Data Scientist – Pricing & Promotions to join our Advanced Analytics team. In this role, you will apply data science techniques to optimize pricing strategies, measure promotional effectiveness, and drive revenue growth. Additional responsibilities include: • Leverage machine learning and statistical techniques to measure price elasticity, promotional effectiveness, and customer behavior.

• Work with large datasets in Azure Databricks and Azure Data Factory, ensuring data integrity and efficient processing.

• Build and maintain automated pipelines for data ingestion, transformation, and modeling.

• Develop interactive Power BI dashboards to communicate insights to business stakeholders.

• Partner with marketing, sales, and revenue management teams to translate data insights into actionable pricing and promotional strategies.

• Continuously evaluate and improve data models to ensure they align with business needs.

Compensation: $8.00-11.00/HR USD