Data Scientist

Job description – Data Science Airtel is hiring for a Data Science professional who is passionate to work in the area of personalization and cross-sell. Ever dreamed of working with 2-5 trillion records / day on a 200+ petabyte base? Want to improve the experience of ~400 million consumers using machine learning? Do you want to work with one of the world's largest telco and India’s top brand? If so, we would like you to join us on an exciting journey to create significant impact using data. The mission of the Data Science team is to transform terabytes of data into robust models for personalization and discovery. We also want to get a deeper understanding of usage patterns to transform and adapt the strategy and direction of various Airtel Apps and products. Your work will directly impact the way millions of Indians use our Digital offerings. We would like you to join us on an exciting journey to create advanced ML products. Responsibilities Work on complex business problems and drive impact Design, run and analyze A/B and multivariate hypothesis tests aimed at optimizing customer experience, business KPIs and product funnels. End to end development and testing of the solutions as per the requirements. Be involved in technology research, capability building across newer technologies and tools in Machine Learning ecosystem at scale. Influence business decisions to help improve consumer and network experiences. Partner and work closely with engineering and product teams to build world class data products. Qualifications – As a successful applicant, you should have: B.Tech/M.S./Ph.D. in Computer Science / Statistics / Applied Mathematics. Deep understanding of Statistical Analysis, Modeling and Machine Learning algorithms. 2 to 4 years of experience with machine learning model development. Experience in designing and deploying ML modeling and prediction pipelines. Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive Experience working with GPUs to develop deep learning models Strong coding skills with the ability to write high-performance code in Python / Pyspark. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment is a plus Ability to contribute to multiple projects/demands simultaneously and work in a fast-paced, collaborative and iterative environment.