Salary
💰 $150,000 - $190,000 per year
Tech Stack
AirflowCloudPythonSparkSQL
About the role
- Partner closely with the Data Science team to build out foundational Machine Learning platform
- Build internal tools and services to accelerate model building and deployment
- Build frameworks to measure and analyze model performance and accuracy in production
- Lead technical initiatives and code reviews; evangelize best practices
- Stay current on emerging ML technologies and implement iteratively into engineering systems
Requirements
- At least 5 years of experience with model lifecycle (optimization, training and serving) in a cloud environment
- Advanced proficiency with Python and SQL
- Strong proficiency with SageMaker, Vertex AI, Databricks, Kubeflow and/or comparable ML platforms or technologies
- Highly focused on delivering results for the Data Science team in a fast-paced, entrepreneurial environment
- Knowledge of statistical concepts such as univariate and bivariate distributions, regression models, and binomial models
- Experience with data technologies like Airflow, Dagster, Spark, and/or dbt
- Strong interest in sports (preferred)
- Prior experience in the sports betting industry (preferred)