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About the Role

This is a player/coach opportunity to establish and lead the Data Science capability in the United States. You will remain technical, writing code and building models, while mentoring a team of US-based Data Scientists and Machine Learning Engineers. The ideal candidate has a startup mindset, thrives in fast-paced environments, and is a pragmatic problem solver focused on building scalable, production-grade solutions.

Responsibilities

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.
Foster 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 with the UK-based Data Science team to share methodology, align on standards, and leverage global technical capabilities.
Translate complex 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.
Establish data science workflows, standards, and code repositories from scratch in a new regional office.

Requirements

Proven experience working in a fast-paced, agile, or startup-like environment.
Demonstrated passion for delivering value iteratively.
Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development.
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.
Ability to translate technical concepts into business outcomes for both technical and non-technical audiences.
Familiarity with containerization (Docker, Kubernetes) and CI/CD principles for machine learning.
Experience with real-time stream processing or event-driven architectures (e.g., Kafka).

Skills

Python programming
Scikit-learn
Pandas
NumPy
XGBoost
Advanced SQL
Google BigQuery
Google Cloud Platform (GCP)
Vertex AI (Pipelines, Workbench, Endpoints)
MLOps

Location

United States

Work Type

Hybrid
Full Time

Experience Level

Senior
Lead

Education Level

MSc or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering) or equivalent practical industry experience.

Salary/Compensations

$155,000 - $165,000 annually

About the Company

bet365 is one of the world's leading online gambling companies, founded in 2000.
We 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.
We handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.
We empower employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity.
We are breaking new ground in software innovation, redefining what's possible for our customers worldwide.

Equal Opportunity

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.