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Bet On Talent

Data Scientist

Bet On Talent

. Build and run the experimentation framework across departments .

Posted 11/11/2026full-timeBirkirkara • MaltaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science with a strong foundation in statistics and experimentation, particularly in A/B testing and causal inference. Proficient in deploying machine learning models to production and leveraging AI technologies to enhance analytical capabilities.

Highest-signal resume keywords
Data Science ExperienceA/B TestingMachine Learning SkillsPython ProficiencyIGaming Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
StatisticsExperimentationMachine LearningA/B TestingCausal InferenceModel DeploymentData AnalysisLLM DevelopmentSQLData Engineering
Soft Skills
Clear CommunicationStrong OwnershipAdaptability
Tools & Technologies
SnowflakeDbtAirflowAI ToolsClaude API
Industry Keywords
IGamingData ScienceProduction ModelsChurn AnalysisSegmentation

Tech Stack

Tools & technologies
AirflowPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Build and run the experimentation framework across departments
  • Set standards for how tests are designed, run, and interpreted
  • Build models for player value, churn, bonusing, and segmentation
  • Deploy models to production with data engineers
  • Measure impact through A/B tests and careful analysis
  • Collaborate with data engineering, CRM, product, and commercial teams
  • Turn complex analysis into clear, actionable recommendations
  • Support the business with ad-hoc analysis
  • Monitor production models, perform drift checks, and retrain models
  • Build LLM-powered features, agents, and AI-assisted analysis tools
  • Identify opportunities for data science to add value

Requirements

What you’ll need
  • 2+ years in data science, with models and analyses that reached production and drove real decisions
  • 1+ year of experience in iGaming
  • Strong foundation in statistics and experimentation, including A/B testing and causal inference
  • Solid hands-on machine learning skills
  • Excellent Python and SQL
  • Experience with a modern data stack, ideally Snowflake, dbt and Airflow
  • Ability to take models from notebook to production
  • Hands-on experience building with LLMs, such as Claude or similar APIs, for features, agents or analysis
  • Comfort using AI to speed up work
  • Clear communication, strong ownership, and ability to thrive in a fast-paced environment

Benefits

Comp & perks
  • Private health insurance
  • Wellness allowance
  • Exclusive discounts at local restaurants and businesses
  • PlayStation and smoothie machine in the office
  • Extended second-parent leave policy
  • Access to private parking
  • Summer and Christmas events
  • Opportunity to make a tangible impact in a fast-paced startup culture
  • Innovative products at the fusion of iGaming, Gaming, and Web3