Senior Manager - Data Science Lead (10-18 yrs)

Responsibilities:

The incumbent will lead a team of data scientists and campaign managers. S/He will work closely with cross functional teams like Subscriber Marketing, Content, Product, IT, Tech, and Customer Operations to identify & solve key business problems. Key responsibilities for this position are listed below:

- 10+ years in the Data Science and Analytics domain

- Expertise in Predictive Analytics & Machine Learning concepts like such as regression, classification, SVM, recommendation engines, neural network etc.

- Hands On experience to open source analytical tools - such as R, Python

- Hands On experience of data visualization tools like Tableau

- Exposure to implementing data science solutions in production environments

- Exposure to Gen AI technology for solving business problems like NLU Search, CVM, Metadata enrichment.

- Understanding of analytical architecture components; query languages, web services, APIs etc

- Experience working on cloud and it's components: AWS / Azure / Google Cloud Platform (any one)

- Experience working on Big Data technologies like Spark, PySpark, SparkR etc

- Proven experience in Model to Market

- Good understanding of commercial (revenue and retention) aspects of the business.

- Experience of leading and driving multiple complex projects with a sharp customer-focus

- High level of integrity, ownership and accountability

- Excellent written and verbal communications; ability to articulate thoughts clearly and concisely; excellent, interpersonal skills.