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 an Associate 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:

• Assist with the creation and maintenance of 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 best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability.
• Assist with 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.
• Help build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime.
• Partner with our Game Operations team to uphold market-making quality, address data quality issues, and brainstorm on new supporting features to empower the team.
• Grow to contribute meaningfully and own key projects in our technology portfolio, upskilling to reach par with the stack and introducing new ideas and tech to enhance it further.

What you have:

• 2+ years of experience in a data science, machine learning engineer, or data-oriented software engineering role assisting with end-to-end data science pipelines and MLOps assets to production.
• Experience helping build and optimize 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.
• Strong organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams
• Formal education in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field
• Scripting languages: SQL, Python
• SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable
• Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine.
• Code version control: Git
• Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow
• Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models.

What makes you stand out:

• Experience building real-time production data science pipelines in a daily fantasy sports or oddsmaking business
• Scripting languages: Go, Rust.
• Code testing libraries: PyTest, PyUnit, Nose2, etc.
• Data pipeline and workflow tools: Prefect, Airflow, Cloud Workflows, Serverless Framework.
• Monitoring and Observability platforms: Datadog, ELK stack, Elastic.
• Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager, Ansible.
• Other platform tools such as Redis, FastAPI, Streamlit.

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, we’ll shower you with perks including: 

• Company-subsidized medical, dental, & vision plans 
• 401(k) plan with company match
• Stock options and bi-annual bonus
• Uncapped PTO to encourage a healthy work/life balance (2-week MINIMUM required!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunities for growth and career development