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Senior Data Scientist

bet365
Denver, USA
Full-time
Senior
Hybrid
USD 140000-150000 yearly / year
Discovered 2 weeks ago
PythonScikit-learnPandasNumPyXGBoostSQL

Full Job Posting

Preferred Skills and Experience

  • PhD or MSc in a quantitative field such as Computer Science, Statistics, or Engineering, or equivalent industry experience delivering complex data science projects.
  • Demonstrable experience deploying and maintaining machine learning systems in a production environment with measurable business impact.
  • Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost.
  • Advanced proficiency in SQL, with hands-on experience querying and manipulating large, complex datasets, preferably with Google BigQuery.
  • Extensive hands-on experience with Google Cloud Platform (GCP), including building and automating ML workflows with Vertex AI pipelines, managing datasets, training models, and deploying to Vertex AI.
  • Experience using collaborative development environments such as Vertex AI Workbench for rapid prototyping, exploration, and analysis.
  • Experience leveraging other core GCP services such as BigQuery, Cloud Storage, and Cloud Functions to build end-to-end data solutions.
  • Solid understanding of CI/CD principles and tools such as Cloud Build or GitLab CIfor automating ML workflows.
  • Experience with containerization such as Docker, Kubernetes/GKE.

What you will be doing

Owning the full data science lifecycle, from initial ideation and rapid prototyping in tools such as Vertex AI Workbench, to deploying production-grade models and pipelines that are robust, scalable, and automated.

Leading the implementation of advanced MLOps principles within our Google Cloud environment, designing, building, and maintaining CI/CD/CT pipelines for automated model deployment using Vertex AI Pipelines and other GCP services.

Partnering proactively with stakeholders in Product, Responsible Gaming, Trading, and other teams to identify high impact opportunities and translate complex business needs into tangible data science use cases.

Building and implementing frameworks for automated model testing, validation, and monitoring using tools such as Vertex AI Model Monitoring to detect drift and ensure performance at scale.

Designing, implementing, and rigorously analyzing A/B tests and other experiments to measure the impact of models and strategies, ensuring data-driven solutions deliver clear, quantifiable value.

Researching and championing the adoption of innovative data science and MLOps techniques, tools, and methodologies that solve problems efficiently, prioritizing impact over complexity.

Acting as a technical leader and mentor for other data scientists, fostering a culture of continuous learning and high-velocity execution.

EEO Statement

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.

Employee Perks

  • Strong Health & Wellness plans
  • 33 days PTO per year
  • 401(k) with company match
  • Annual Bonus Plan

Life at bet365

We are a unique global operator with passion and drive to be the best in the industry. Our values form the foundation of culture and shape the unique way that we work. People are our superpower and we support you to be the best you can be.

Requirements

  • PhD or MSc in a quantitative field such as Computer Science, Statistics, or Engineering, or equivalent industry experience delivering complex data science projects.
  • Demonstrable experience deploying and maintaining machine learning systems in a production environment with measurable business impact.
  • Strong programming skills in Python and deep expertise in data science libraries such as, Scikit-learn, Pandas, NumPy, XGBoost.
  • Advanced proficiency in SQL, with hands-on experience querying and manipulating large, complex datasets, preferably with Google BigQuery.
  • Extensive hands-on experience with Google Cloud Platform (GCP), including building and automating ML workflows with Vertex AI pipelines, managing datasets, training models, and deploying to Vertex AI.
  • Experience using collaborative development environments such as Vertex AI Workbench for rapid prototyping, exploration, and analysis.
  • Experience leveraging other core GCP services such as BigQuery, Cloud Storage, and Cloud Functions to build end-to-end data solutions.
  • Solid understanding of CI/CD principles and tools such as Cloud Build or GitLab CIfor automating ML workflows.
  • Experience with containerization such as Docker, Kubernetes/GKE.

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