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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** bet365 - **Location:** Denver, CO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Computer Programming, Continuous Integration, Python (Programming Language), Machine Learning, NumPy, Rapid Prototyping Process, Software Engineering, Software Repository, Google Cloud, Sql Optimization, Pandas, Event Driven Architecture, Containerization, Scikit Learn, Kubernetes, Information Technology, Xgboost, Google Bigquery, Apache Kafka, Machine Learning Operations, Stream Processing, Data Pipelines, Docker - **Published:** September 15, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2972678505-2 ## About the Role * Proven experience working in a fast-paced, agile, or startup-like environment. You must have a demonstrated passion for "getting things done" and delivering value iteratively. * Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development. * A strong track record of designing, building, deploying, and maintaining machine learning models in production environments * Superior communication skills with the ability to build strong cross-functional relationships and translate technical concepts into business outcomes for both technical and non technical audiences. * Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn, Pandas, NumPy, XGBoost, etc.). * Advanced SQL proficiency for querying and manipulating large datasets, preferably within Google BigQuery. * Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints). * MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or equivalent practical industry experience. * Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine * Experience with real-time stream processing or event-driven architectures (e.g., Kafka). ## Description * In this hands-on role you will devise, code, and deploy AI, machine learning and predictive models, leading by example in technical execution and code quality. This is not a pure people-management role. * Building, mentoring, and guiding a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software engineering discipline. * Partnering closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities. * Collaborating regularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities. * Translating complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles. * Collaborating with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable. * Establishing data science workflows, standards, and code repositories from scratch in a new regional office. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! 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