Job Description
About BrandIdea Analytics
At
BrandIdea Analytics , we are redefining the way businesses understand markets by
delivering granular insights
from the building level upwards.
Our analytics platform and frameworks empower some of India’s
leading brands to make sharper, faster, and more effective decisions.We are looking for
Senior Data Scientists
who are passionate about solving complex business problems with data, scaling models to capture minute levels of granularity, and mentoring a next generation of analytics talent team.
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.