Senior Data Scientist (machine Learning Engineering) Job in Dream11

Technology @ Dream11Our tech team is the core of Dream11s mobile-first cross-platform (desktop + mobile PWA, android & iOS) product serving more than 8 Crore users with over 50 million rpm (requests per minute) at peak concurrency.Our tech stack is hosted on AWS and is built on Cloudfront / AWS API Gateway, NGINX, / Java, Redis / ElastiCache and MySQL / Cassandra as our end to end stack. Besides these, we heavily use MongoDB, Kinesis, Kafka, RabbitMQ, Spark, Redshift and other cutting edge tech to keep improving Dream11's performance. As a data-driven team, we also use R, Python and other big data technologies for Machine Learning and Predictive Analytics.

Your Role:

• At Dream11 in the Data Science team, we are looking for highly skilled, self-motivated Data Scientists who are passionate about innovating and developing machine learning and data analytics solutions to build on top of the massive sports data mine which we hold.
• We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services which help make our product more customer friendly.
• The candidate will work with Applied Scientists, MLEs, Data Engineers, Backend Teams to build, deploy, and maintain applications in multiple environments.

Must Have:

• Industry Experience as a data scientist/MLE or related field for at least 3 years
• Familiarity with hosting API's, containerisation, sharding etc
• Familiar with structuring machine learning systems for production
• Feature engineering at scale: Experience with workflow management platforms like airflow/prefect/step/jenkins or equivalent

Good to Have:

• Linear Algebra / Numerical Computing equivalent of Gilbert Strang's book
• Experience in applied data analysis, including A/B testing
• Skills in OO programming ( Python, Java, Julia or C++ )
• Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS, Azure or GCP, and container systems such as Docker
• Functional programming languages such as Scala
• Familiarity with running Spark, Dask jobs
• Familiar with distributed graph processing/analysis