Top Data & Analytics Jobs
As a Lead System DBA, you'll oversee and optimize database environments, utilizing maintenance strategies across production and non-production settings. You'll manage PostgreSQL, MongoDB, and MS SQL databases, ensuring performance and integrity while implementing backup strategies and providing 24/7 support for various database activities.
The Data Science Engineer at DraftKings will develop and deploy statistical models and machine learning algorithms to resolve complex business issues, manage data science projects, ensure timely delivery, and work with teams to integrate solutions. Responsibilities include communicating insights to stakeholders and supporting automation strategies.
As a Data Science Engineer, you will create and integrate statistical and machine learning models for a sports platform, write production-quality code, collaborate with various teams, and ensure data flows and model integrations are effective.
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 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.
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