Data Science Team Leader
This is an exceptional, hands-on, player/coach opportunity to establish, shape, and lead our Data Science capability in the United States. As the Data Science Team Leader, you will be a critical part of our expanding global data organisation. You will remain deeply technical and actively involved in writing code, building models, and executing machine learning solutions, while simultaneously mentoring and growing a high-performing team of US-based Data Scientists and Machine Learning Engineers.
We are intentionally recruiting for a specific kind of professional: someone with a startup mindset who thrives in fast-paced environments, possesses a strong bias for action, and values execution over theoretical complexity. To succeed, you must be a pragmatic problem solver who enjoys getting their hands dirty while building scalable, production-grade solutions. Excellent stakeholder management is paramount. You will work as a key collaborative partner alongside the US Data Team Lead, Data Product Lead, and AgentOps Team Lead within the wider US Data team, while maintaining strong operational alignment and knowledge sharing with our established UK-based Data Science team.
- Devise, code, and deploy AI, machine learning and predictive models, leading by example in technical execution and code quality.
- Build, mentor, and guide 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.
- Partner closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities.
- Collaborate regularly with our UK-based Data Science team of technical excellence to share methodology, align on standards, and leverage global technical capabilities.
- Translate complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles.
- Collaborate 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.
- Establish data science workflows, standards, and code repositories from scratch in a new regional office.
- Proven experience working in a fast-paced, agile, or startup-like environment. (required)
- Demonstrated passion for getting things done and delivering value iteratively. (required)
- Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development. (required)
- Strong track record of designing, building, deploying, and maintaining machine learning models in production environments. (required)
- 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. (required)
- Exceptional programming skills in Python and deep expertise in data science libraries (Scikit-learn, Pandas, NumPy, XGBoost, etc.). (required)
- Advanced SQL proficiency for querying and manipulating large datasets, preferably within Google BigQuery. (required)
- Hands-on experience with Google Cloud Platform (GCP), ideally including the Vertex AI ecosystem (Pipelines, Workbench, Endpoints). (required)
- MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or equivalent practical industry experience. (required)
- Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine learning. (required)
- Experience with real-time stream processing or event-driven architectures (e.g., Kafka). (required)
- Compensation: up to USD 165000 - yearly.
At bet365, we are one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 million HTTP requests daily and process more than 2 million bets per hour at peak. Innovation thrives at bet365. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. With endless opportunities for growth and collaboration, team members have the chance to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation - together, we’re redefining what’s possible!