PrizePicks · 5 hours ago
Data Science Engineer
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Fantasy SportsGaming
Growth OpportunitiesNo H1B
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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.
Qualification
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Required
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.
Preferred
Experience building real-time production data science pipelines in a daily fantasy sports or oddsmaking business.
Benefits
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
Company
PrizePicks
PrizePicks is a Daily Fantasy Sports (DFS) platform that covers sports betting in a wide variety of leagues.
Funding
Current Stage
Growth StageTotal Funding
$0.85MKey Investors
Atlanta UnitedParlay Capital Holdings
2023-03-23Corporate Round· Undisclosed
2021-12-01Series Unknown· Undisclosed
2020-07-08Series Unknown· $0.85M
Recent News
2024-10-24
2024-05-20
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