Sr. Data Scientist

Role Overview

As a Senior Data Scientist at BrandIdea, you will be part of the team that will drive the design and deployment of advanced analytics and AI/ML models that bring precision to decision-making for leading brands like Coke, Cadbury’s, Godrej Consumer Prdts, TAFE, Pepsi and many more. You will collaborate closely with strategy, technology, and content teams, and will play a pivotal role in translating granular data into business impact.

Key Responsibilities

Analytics & Modeling

• Develop and scale predictive, prescriptive, and AI & ML models that handle granular datasets spanning the whole country. .
• Build robust forecasting, segmentation, and optimization models to solve sales, distribution, pricing, and consumer behavior challenges.

Data Strategy & Execution

• Leverage structured and unstructured datasets to create granular insights for clients in FMCG, Building Materials, BFSI, FMEG, and other industries.
• Work with large-scale distributed data systems and optimize model performance on real-world, high-volume, granular data.

Client Engagement & Business Impact

• Collaborate with client teams to identify problems, shape analytics solutions, and deliver insights that drive measurable business outcomes.
• Contribute thought leadership on how granular analytics can transform go-to-market strategies and brand growth.

Leadership & Mentoring

• Mentor junior data scientists and analysts on advanced methodologies and coding best practices.
• Contribute to BrandIdea’s knowledge frameworks and IP creation in analytics.
• Excellent communication, presentation, and storytelling skills.

Qualifications

Education:

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science.

Experience:

• 6–10 years of professional experience in data science/advanced analytics.
• Proven track record of deploying models that delivered business impact at scale.
• Experience in consumer industries (FMCG, Building Materials, Consumer Durables, Retail, FMEG or similar sectors) is a plus.

Technical Skills:

• Strong coding expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), SQL, and R.
• Deep understanding of predictive modeling, machine learning, NLP, time-series forecasting, and optimization methods.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and production deployment.

What We Offer

• The opportunity to be the core of the Company - work on pioneering granular analytics frameworks that set global benchmarks.
• Exposure to diverse industries and categories.
• Competitive compensation and clear growth pathways.

Pay: ₹200,000.00 - ₹300,000.00 per month

Benefits:

• Paid sick time
• Provident Fund

Work Location: In person