Senior ML Scientist (Causal Inference)

Dream11 – Technology /
Full-time /
Data Science @Dream Sports:
Data Science at Dream Sports comprises seasoned data scientists thriving to drive value with data across all our initiatives. The team has developed state-of-the-art solutions for forecasting and optimization, data-driven risk prevention systems, Causal Inference and Recommender Systems to enhance product and user experience.

We are a team of Machine Learning Scientists and Research Scientists with a portfolio of projects ranges from production ML systems that we conceptualize, build, support and innovate upon, to longer term research projects with potential game-changing impact for Dream Sports.

This is a unique opportunity for highly motivated candidates to work on real-world applications of machine learning in the sports industry, with access to state-of-the-art resources, infrastructure, and data from multiple sources streaming from 250 million users and contributing to our collaboration with Columbia Dream Sports AI Innovation Center.

Your Role:

    • Executing clean experiments and observational causal studies rigorously against pertinent performance guardrails and analyzing performance metrics to infer actionable findings
    • Developing and maintaining data science services with proactive monitoring and incorporating best industry practices for high quality user experience
    • Breaking down complex projects into actionable tasks that adhere to set management practices and ensure stakeholder visibility
    • Developing and managing end-to-end applied science projects using large-scale causal inference, econometrics and machine learning techniques
    • Leveraging a strong foundation in Statistics, Causal Inference and ML to adeptly implement research-backed techniques for solving business problems
    • Staying abreast of the best applied science practices and developments of the industry to mentor and guide team members


    • 2-5 years of experience in building, deploying and maintaining ML solutions
    • Master's degree in Statistics, Economics, Computer Science, or a related quantitative field
    • Experience with ML/data coding  frameworks (Python, SQL, Spark) and designing ML systems
    • Working knowledge of probability & statistics, Causal Inference and Machine Learning
About Dream Sports:

Dream Sports is India’s leading sports technology company with 250 million users, housing brands such as Dream11, the world’s largest fantasy sports platform, FanCode, a premier sports content & commerce platform and DreamSetGo, a sports experiences platform.

Dream Sports is based in Mumbai and has a workforce of close to 1,000 ‘Sportans’. Founded in 2008 by Harsh Jain and Bhavit Sheth, Dream Sports’ vision is to ‘Make Sports Better’ for fans through the confluence of sports and technology.

For more information:

Dream11 is the world’s largest fantasy sports platform with 220 million users playing fantasy cricket, football, kabaddi, basketball, hockey, volleyball, handball, rugby, futsal, American football & baseball, on it. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology company and has partnerships with several national & international sports bodies and cricketers.