The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments — at the core of these operations is data. As a Data Science Engineer, you will be developing, maintaining, and testing streaming data and MLOps infrastructures to enable PrizePicks to offer real-time priced markets within the product.

What you’ll do:

• Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines.
• Partner with Data Science to determine the best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability.
• Lead the design and implementation of the data and MLOps stack required for real-time pricing models and contribute to architecture evaluations and decisions for our growing data product roadmap.
• Work cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible, real-time, in-game micromarket offerings to the PrizePicks platform.
• Build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime.

What you have:

• 3+ years of experience in a data science, machine learning engineer, or data-oriented software engineering role creating and pushing end-to-end data science pipelines and MLOps assets to production.
• Experience building and optimizing cloud-based data streaming pipelines and infrastructure.
• Experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale distributed data processing and model training.
• Experience with the following:
• Strong organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams
• Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field
• Preferred: experience building real-time production data science pipelines in a daily fantasy sports or oddsmaking business

Where you’ll live:

• Anywhere in the US is fine but Atlanta would be preferred. 

Benefits you’ll receive:

In addition to your great compensation package, company subsidized medical/dental/vision coverage plans and matching 401(k), we’ll shower you with perks including: 

• Break room with ping pong, endless snacks and in-office lunch once a week
• Unlimited PTO to encourage a healthy work/life balance (2 week min required!)
• Modern work schedule focused on getting the job done, not hours clocked
• Workplace flexibility
• Company and team outings, we encourage a tight-knit workplace
• Generous Maternity AND Paternity leave (16 weeks!)
• Annual bonus & stock options
• Wellness program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunity for growth and career development