Associate Data Science Engineer

April 24

PrizePicks

WebsiteLinkedInAll Job Openings

PrizePicks is the fastest-growing sports company in North America according to the 2023 Inc. 5000 rankings, two years running, and the largest independent skill-based fantasy sports operator in the country.

Spectator Sports

201 - 500

Description

• 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.

Requirements

• 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 out puts 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.

Benefits

• 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