Sr. Data Scientists

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 BrandIdeas

  knowledge frameworks and IP creation

  in analytics.
• Excellent communication, presentation, and storytelling skills.

Qualifications

Education:

• Masters 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.