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Data Scientist

Posted 8 days agoViewed

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💎 Seniority level: Junior, 1+ years

🔍 Industry: Online gambling

🏢 Company: Gambling.com Group👥 251-500💰 $50,000,000 Post-IPO Debt about 1 year agoInternetDigital MarketingAdvertisingGaming

🗣️ Languages: English

⏳ Experience: 1+ years

Requirements:
  • 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.
  • Comfortable with Git.
  • Possess a strong sense of ownership, urgency, and drive.
  • Document all code and features for maintainability.
  • Experience of cloud-based databases (Snowflake) would be advantageous but not essential.
  • Excellent written and oral communication skills in English.
  • Experience with AWS is advantageous.
Responsibilities:
  • Work on a range of machine learning tasks
  • 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.
  • 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.
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