Gambling.com Group is hiring a
Data Scientist

Summary

Join Gambling.com Group's diverse and growing team in Europe as a Data Scientist, working on machine learning tasks, productionizing models, and supporting data pipelines. The ideal candidate has a bachelor's degree in computer science or equivalent experience, with at least 1 year of experience in a Data Science role.

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

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

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