Data Scientist

Summary

Join Gambling.com Group as a Data Scientist and leverage data to build and improve machine learning models, enhancing our product offerings. You will work with bespoke tools, Python, a state-of-the-art Data Warehouse, and AWS Technologies. This role offers significant responsibilities and the opportunity to impact a fast-growing company where your work directly correlates to revenue. You will collaborate with various departments, work on diverse machine learning tasks, productionize models, perform A/B testing analysis, utilize cutting-edge technologies, and communicate results to both technical and non-technical audiences. The role involves working with a globally distributed team using tools like Slack and Zoom. This is a remote-first hybrid work model.

Requirements

• A Bachelor’s Degree in Computer Science or 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 a deep understanding of their differences and use cases
• Strong 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
• Possess a strong sense of ownership, urgency, and drive
• Document all code and features for maintainability
• Excellent written and oral communication skills in English

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

Preferred Qualifications

• Experience of cloud-based databases (Snowflake) would be advantageous but not essential
• Experience with AWS is advantageous

Benefits

Majority remote-first hybrid work model