• Expand utilization and adoption of existing models and accelerate adoption of commonly used proprietary frameworks. • Establish and refine KPI's and OKR's for scaling and accelerating the product offerings. • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products. • Proactively improve our Rust codebase • Source origins of data inaccuracies through data pipeline dependencies and Python code base • Use extensive experience to build, test, debug, and deploy production-grade components • Keep up to date with new approaches to inferential statistics, sampling, and experimental design. • Examine the integration and scaling of our real world operations, simulations, experiments, and demonstrations. • Expert Python developer using many different machine learning and data science frameworks. • Provide risk management guidance on methods for assessing and mitigating risk. • Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists. • Adhere to software engineering best practices and contribute to shared code repositories.