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Data Scientist

Gambling.com Group

Gambling.com Group

Data Science
United Kingdom · Ireland
Posted on Aug 2, 2024

Gambling.com Group (Nasdaq: GAMB) is looking for talented individuals to join its diverse and growing team in Europe. Through a portfolio of brands -- including flagship website Gambling.com, as well as Bookies.com and the new Casinos.com -- Gambling.com Group helps online gamblers start their consumer journey with confidence by delivering best-in-class content featuring expert analysis, independent reviews, news, tips, odds comparisons and more.

The Group over its 16-year history has positioned itself as one of Europe’s premier performance marketing companies and is one of the leaders in responsible player acquisition across the regulated, global online gambling industry. The Group has won nearly every award in the gambling affiliate industry for sports and casino, most recently winning SBC Casino Affiliate of the Year and EGR Sports Affiliate in 2022, and is a two-time winner of the prestigious EGR Affiliate of the Year award.

Europe remains a key market of focus for the Group as it continues its period of exciting growth in 2023. The Group has offices in Dublin, its EU headquarters, and Malta.

Responsibilities:

  • Work closely with many other roles and departments as to quickly gain a comprehensive knowledge of the business and the data sets available within the organisation.
  • Work on a range of machine learning tasks such as: regression modelling, ranking, timeseries forecasting, NLP, anomaly detection.
  • Productionise models and code that operate across 50+ industry leading websites to deliver clear insights that drive action.
  • Take ownership of existing and new python solutions and support their design, development, maintenance, and documentation.
  • Run and perform continuous statistical analysis of A/B tests to determine the direct monetary impact of the models the team builds.
  • Utilise cutting edge technologies to ensure data pipelines are using the best and most appropriate tools to achieve company goals.
  • Ensure failures are minimised and corrected efficiently and in a timely manner.
  • Execute ad hoc analysis and statistical inference to highlight issues and untapped potential in the data.
  • Support implementation of internal processes to increase operational efficiency.
  • Communicate analysis results to both technical and non-technical users.
  • Work with a globally distributed team and be comfortable with slack/zoom for meetings and communication, and programming remotely.

Requirements:

  • A bachelor’s degree in computer science or a related field, or equivalent work experience.
  • Minimum of 1 years’ experience in a Data Science role.
  • Experience using a wide variety of machine-learning models and an understanding of their differences and use cases.
  • Development experience using python and SQL
  • Experience building and maintaining machine learning pipelines using Python.
  • Experience of working effectively in a distributed team environment.
  • Experience working with a major Relational Database such as Snowflake, Oracle, Teradata, SQL Server, MySQL, etc.
  • Demonstrable experience in data exploration and data visualisation
  • Clear ability to work in teams, contribute to technical decisions and learn/suggest new technologies.
  • Ability to be a creative problem solver with a solution-focused attitude.
  • Comfortable with Git.
  • Document all code and features for maintainability.
  • Possess a strong sense of ownership, urgency, and drive.
  • Experience of cloud-based databases (Snowflake) would be advantageous.
  • Experience with AWS is advantageous.

Perks & Benefits

  • Employee Stock Purchase Program
  • Comprehensive private Healthcare Insurance
  • Flexible work environment with the option for remote work
  • Lifestyle Allowance/Lifestyle Spending Account
  • Hardware and software
  • Regular company events, including seasonal parties and sports & social outings.
  • Access to courses for Personal and Career Development
  • Company Paid Volunteer Day