Lead Data Scientist (Machine Learning)


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Dream Sports
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Posted 1 month ago

Technology @ Dream11Our tech team is the core of Dream11’s 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, Node.js / 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, MLE’s, Data Engineers, Backend Teams to build, deploy, and maintain applications in multiple environments.

Must Have:

  • 5-8 years of experience as a MLE or SWE or DE or related fields
  • Solid understanding of concepts such as model drift, model validation, continuous ML deployment
  • Very good understanding of Distributed ML training and deployment ( preferably via Spark, Dask, EMR based setups)
  • Experience building modular ML systems that integrate with product

Good to Have:

  • Understand concepts such as cost sensitive learning, tweaking of cost functions, deep learning concepts and implementations
  • Able to implment SOTA ML pipelines/systes described by good papers end to end
Dream Sports is a sports technology company with brands such as Dream11, FanCode, DreamX, DreamSetGo and DreamPay in its portfolio. Dream Sports is executing its vision of ‘Make Sports Better’ by providing multiple avenues for fans to deeply engage with the sports they love through fantasy sports, content, commerce, experiences and events, among others.Founded in 2008 by Harsh Jain and Bhavit Sheth, the company has been ranked #10 among India’s Great Mid-Size Workplaces in 2019 and was recognised as one of the top 10 innovative companies in India by Fast Company in 2019. Kalaari Capital, Think Investments, Multiples Equity, Tencent and Steadview Capital are the marquee investors in Dream Sports.
Job tags: AWS Big Data Cassandra Data Analytics Deep Learning Java Kafka Machine Learning ML MongoDB MySQL Python R Redshift Spark
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