At Airtel Digital, we are transforming from a telecom giant to a digital force and changing how people consume entertainment, how companies manage their assets to how cities use energy.. Today, our work goes beyond telecom -- we build products that entertain and inform, connect devices to the internet, and enable businesses to securely harness the power of their data. With a remarkable team of talent led by eminent industry leaders, our goal is to expand our people power and deliver solutions that truly enrich the lives of our customers. There could not be a better time to join us and be a part of this incredible journey.

Airtel Digital || Data Science

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.

See why we call it India?s Best Data Challenge: http://bit.ly/IndiasBestDataJob

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:

• Build world-class ML models.
• 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 the ML ecosystem at scale.
• Influence business decisions to help improve consumer and network experiences.
• Spot new business opportunities and drive growth.
• Partner and work closely with engineering and product teams to build world class data products.
• Mentor data scientists.

Minimum Qualifications:

• Deep understanding of Statistical Analysis, Modeling and Machine Learning algorithms.
• 5-7 years of experience with machine learning model development. Experience in designing and deploying ML modeling and prediction pipelines.
• Good command over Python, Tensorflow/PyTorch/Jax, PySpark.
• Strong coding skills with the ability to write high-performance code in Python/Julia/R. Familiar with version control.
• Must be fluent with SQL.
• Ability to contribute to multiple projects/demands simultaneously and work in a fast-paced, collaborative and iterative environment.

Preferred Qualifications:

• M.S./Ph.D. in Computer Science / Statistics / Applied Mathematics.
• Strong Python skills for data wrangling/analysis/visualization and modeling.
• Experience with distributed big data computing (Hadoop / Spark). Experience with Presto/Druid for ad-hoc analysis.
• Experience with mlflow and/or airflow for data pipelines and model deployment.
• Experience with Neural Networks (e.g. RankNet, MLP or LSTM) and NLP (e.g. Word2Vec). Deployed at least one industrial project using supervised/unsupervised machine