Remote Data Science Engineer

Summary

Join PrizePicks, the fastest growing sports company in North America, as a Data Science Engineer and contribute to building and maintaining analytics tools and workflows to support the business across all departments.

Requirements

• 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
• 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

Responsibilities

• 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

Benefits

• Company-subsidized medical, dental, & vision plans
• 401(k) plan with company match
• Long-term incentives 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