bet365

Online Gambling

SeniorDataScientist

$135–150k Denver, Colorado, United States FULL TIME
The Brief

“Senior Data Scientist at bet365. Skills: Machine Learning, MLOps, Google Cloud Platform, Data Science. Accelerate ML lifecycle. Scale impact”

What You'll Achieve.

Scale impact; Automate business decisions; Elevate measurable value; Deliver quantifiable value

Industry & Context.

Online Gambling
Problems you'll solve

Solve problems efficiently; Complex challenges

What They're Looking For.

Must Have

PhD or MSc in quantitative field, Equivalent industry experience, Deploying and maintaining ML systems, Programming skills in Python, Expertise in Scikit-learn, Pandas, NumPy, XGBoost, Advanced proficiency in SQL, Experience querying large datasets, Extensive GCP experience, Experience with Vertex AI pipelines, Experience with Vertex AI Workbench, Experience with BigQuery, Cloud Storage, Cloud Functions, Solid understanding of CI/CD principles, Experience with Docker, Kubernetes/GKE

Nice to Have

PhD preferred, Google BigQuery experience preferred

What You'll Do.

Accelerate ML lifecycle

Automate business decisions

Champion rapid iteration

Elevate measurable value

Optimize Sports and Gaming products

Automate ML deployment

Apply data science principles

Apply MLOps principles

Tackle complex challenges

Own data science lifecycle

Ideate data science projects

Prototype data science projects

Deploy production-grade models

Deploy production-grade pipelines

Build robust pipelines

Build scalable pipelines

Build automated pipelines

Lead MLOps implementation

Design CI/CD/CT pipelines

Build CI/CD/CT pipelines

Maintain CI/CD/CT pipelines

Automate model deployment

Partner with stakeholders

Identify high impact opportunities

Translate business needs

Build automated model testing

Implement automated model testing

Validate automated models

Monitor automated models

Ensure performance at scale

Measure strategy impact

Ensure data-driven solutions

Deliver quantifiable value

Research data science techniques

Research MLOps techniques

Champion data science adoption

Champion MLOps adoption

Solve problems efficiently

Act as technical leader

Mentor data scientists

Foster continuous learning

Foster high-velocity execution

How You'll Work.

Team & Collaboration

Partner with Product; Partner with Responsible Gaming; Partner with Trading; Collaborate with stakeholders

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