Hybrid Data Scientist — ML & Analytics for Sports & Gaming

Bet365 Company; United States; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work from home policy

Job summary

bet365 is seeking a Data Scientist to develop machine learning solutions and perform statistical analyses to inform strategic decisions. You will extract insights from vast datasets and build predictive models, collaborating with Fraud, Responsible Gambling, Trading and Branding teams.

This role supports a global business with a hybrid work-from-home policy. Applicants should have a PhD in a quantitative field and strong Python/R/SQL skills, with knowledge of data mining, visualization, cloud

Qualifications

• Sourcing, cleaning, and validating diverse datasets from internal and external sources.
• Developing and deploying robust statistical and machine learning models.
• Designing, implementing, and analysing A/B tests and other controlled experiments.
• Communicating findings to both technical and non-technical audiences.

Responsibilities

• Develop machine learning solutions and perform statistical analysis to inform decisions.
• Extract insights from large datasets and build predictive models.
• Collaborate with Fraud, Responsible Gambling, Trading and Branding teams.
• Contribute to scalable data science infrastructure and dashboards.

Skills

Python

R

SQL

Machine learning

Data mining

Data visualization

Communication

Education

PhD in Computer Science/Statistics/Mathematics

Tools

Cloud platforms

Big data technologies

Data science frameworks

Job description

bet365 is seeking a Data Scientist to develop machine learning solutions and perform statistical analyses to inform strategic decisions. You will extract insights from vast datasets and build predictive models, collaborating with Fraud, Responsible Gambling, Trading and Branding teams.

This role supports a global business with a hybrid work-from-home policy. Applicants should have a PhD in a quantitative field and strong Python/R/SQL skills, with knowledge of data mining, visualization, cloud