Lead ML Scientist

**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:

• Implementing appropriate success metrics, driving rapid experimentation of new POCs and presenting the impacts to stakeholders
• Driving knowledge sharing sessions within and across teams while maintaining continuous feedback channels with teammates to ensure building growth paths
• Owning respective services by following best practices in service maintainability, understanding and acting on the risks and opportunities involved
• Prioritising roadmaps while balancing impact, effort, resources and team's requirements to complete initiatives within committed timelines
• Developing and evaluating predictive and prescriptive models using appropriate mathematical methods like supervised and unsupervised learning, frequentist statistics, estimation methods
• Designing large-scale ML systems with advanced ML frameworks like TensorFlow/Keras/PyTorch for training and inferencing at scale
• Ensuring cross team alignment towards business/project goals by driving visibility of initiatives, managing conflicts, and highlighting implementation blocks

Qualifiers:

• 6 - 10 years of experience in building and maintaining ML solutions at scale
• Proficient in predictive modelling (ML,DL/RL) and experimentation/causal inference methods
• Atleast 1 year of experience in managing team of data scientists and handling cross functional stakeholders
• Proven track record of designing end to end ML systems which can handle the scale