Senior Data Scientist - Trading

bet365 • Denver, CO

3d • $135,000 - $150,000

About The Position

We are building a next-generation trading platform at bet365, driving high-performance automation and real-time intelligence at scale. As a Senior Data Scientist in our Trading Intelligence team, you will embed machine learning into operations to deliver measurable business impact. In this key technical leadership position, you will guide high-impact modeling, champion fast, safe iterations on our modern cloud stack, and mentor emerging talent to grow the team's data science capabilities - establishing the standard for methods, delivery, and communication. Embedded directly within Trading, you will collaborate closely with stakeholders and central engineering teams to frame problems, prototype models, and deploy solutions rapidly. Your work will balance statistical rigor with commercial impact, delivering tangible results while maintaining oversight of cloud experiment costs. The salary for this position is $135,000 – $150,000 annually.

Requirements

• PhD or MSc in a quantitative field (Computer Science, Statistics, Engineering) or equivalent industry experience.
• Demonstrable experience in data science with a track record of deploying and maintaining machine learning systems in production.
• Strong programming skills in Python and expertise in data science libraries (e.g., Scikit-learn, Pandas, NumPy, XGBoost); advanced proficiency in SQL.
• Extensive hands-on experience with Google Cloud Platform (GCP) and Vertex AI, including building and automating ML workflows.
• A pragmatic, value-oriented mindset with strong communication skills, capable of translating complex technical concepts for diverse audiences.

Nice To Haves

• Experience with iGaming or online sports betting operators is a strong plus.

Responsibilities

• Drive end-to-end data-driven trading solutions, from problem framing to model deployment.
• Champion practical MLOps on GCP, defining data, feature, deployment, and monitoring requirements.
• Collaborate with the central data science and engineering team for pipeline support and monitoring.
• Deliver business value quickly by translating complex needs into tangible data science applications.
• Maintain cloud cost awareness and ensure visibility of experiment and application costs.
• Automate and scale frameworks for model testing, validation, and monitoring.
• Experiment and optimize to measure real-world impact, balancing statistical rigor with practical decision-making.
• Build the next generation of data-driven intelligence into core trading processes.
• Mentor and coach emerging team members to grow local data science capabilities, ensuring robust methods and effective communication.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees