Top Data & Analytics Jobs
As a Senior Data Science Engineer, you will develop and integrate statistical and machine learning models into applications, enhance football models, write production quality code, utilize MLOps for training, and support junior data scientists. You will collaborate closely with various teams and ensure data flows are accurate and models function within the business context.
As a Senior Data Science Engineer, you will create and integrate statistical and machine learning models into applications for the Sportsbook platform, improve American Football models, write production-quality code, support the team, and ensure model accuracy through testing.
As a Machine Learning Engineer, you'll integrate statistical and machine learning models into production, write production quality code, utilize MLOps for ML workloads, and ensure model accuracy. Collaboration with product teams is vital to move projects from ideation to deployment.
As a Manager of Data Science Engineering, you will manage a team of sports modellers, oversee the design and development of sports models and applications, collaborate with business leads, contribute to DS project architecture, and mentor engineers to ensure high-quality output.
Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.
As a Senior Data Engineer, Snowflake, you will lead a data team focused on providing a best-in-class experience for products and customers. Responsibilities include platform administration, performance tuning, infrastructure guidance, automation, monitoring, disaster recovery planning, and technical support.
In this role, you will lead a team of data scientists and engineers, developing advanced machine learning models and scalable solutions to optimize marketing strategies. You will collaborate with marketing teams to design experiments and build predictive models, while communicating your findings to influence senior leadership decisions.
As a Lead Data Science Engineer, you will lead a team to develop and implement machine learning models, enhance search capabilities, and drive impactful projects that create tailored user experiences in the Sportsbook industry.
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