Cognitud - Lead - Data Scientist

We are seeking a highly experienced and strategic Lead Data Scientist to drive our advanced analytics initiatives within the ITC Lighthouse Program.

The ideal candidate will have a proven track record of developing, validating, and deploying complex predictive models, with a strong focus on delivering actionable business insights.

You will lead a team of data scientists, manage end-to-end project lifecycles, and collaborate with cross-functional teams to drive data-driven decision-making.

Responsibilities:

- Develop, validate, monitor, and report on predictive models for the ITC Lighthouse Program.

- Lead the development and deployment of machine learning models using advanced analytical scripting (R, Python, Spark, APIs).

- Optimize model performance and ensure data quality.

- Implement and maintain MLOps principles and practices.

- Manage the end-to-end data science project lifecycle, from requirements gathering to deployment and monitoring.

- Lead data science scrums and program scrums, representing the data science unit.

- Provide technical guidance and mentorship to team members.

- Ensure delivery of data science solutions through agile methodologies.

- Translate complex data analysis into clear and actionable business insights.

- Communicate findings and recommendations to stakeholders at all levels.

- Collaborate with cross-functional teams to drive data-driven decision-making.

- Maintain deep expertise in advanced analytical scripting (R, Python, Spark, APIs).

- Stay up-to-date with the latest AI/ML trends and technologies.

- Drive innovation in data science methodologies and tools.

- Experience working in SPARK environment, DATABRICKS, Microsoft AZURE and GIT (Github/Gitlab).

- Leverage domain knowledge of CPG/FMCG to develop relevant and impactful models.

- Good to have hands on experience in developing Trade Promotion and Optimization/ Market Mix Models.

- Ensure compliance with data governance policies and procedures.

- Maintain data security and confidentiality.

Requirements:

- Bachelor's degree in Engineering (B.E, B.Tech), Master's degree in Engineering (M.E, M.Tech), or MBA.

- 8+ years of core experience in advanced analytical model development, validation, monitoring, and reporting.

- 5+ years of experience managing end-to-end data science project lifecycles.

- Proven experience working in SPARK environment, DATABRICKS, Microsoft AZURE and GIT (Github/Gitlab).

- Expertise in advanced analytical scripting (R, Python, Spark, APIs).

- Strong understanding of machine learning algorithms and techniques.

- Experience with MLOps principles and practices.

- Excellent communication and presentation skills.

- Strong problem-solving and analytical skills.

- Ability to lead and mentor a team.

- Domain knowledge of CPG/FMCG is mandatory.

- Experience with Agile methodologies.

- Experience developing Trade Promotion and Optimization/ Market Mix Models is a plus