Data Science Engineer

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 best paths for the 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 micro market offerings to the PrizePicks platform.

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:
• SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable,
• Scripting languages: SQL, Python, Go, Rust.
• Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine,
  Cloud Functions, Kubernetes Engine. 
• Code version control: Git
• Code testing libraries: PyTest, PyUnit, Nose2, etc.
• Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow
• Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods,
  generative models.
• Data pipeline and workflow tools: Prefect, Airflow, Cloud Composer, Serverless Framework.
• Monitoring and Observability platforms: Datadog, ELK stack.
• Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager, Ansible.
• Other platform tools such as Redis, FastAPI, Streamlit.
• 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

What makes you stand out:

• 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, we’ll shower you with perks including: 

• Company-subsidized medical, dental, & vision plans 
• 401(k) plan with company match
• Long-term incentives and bi-annual bonus
• Flexible PTO to encourage a healthy work/life balance (2- weeks STRONGLY encouraged!)
• 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