Overview

We are growing our Data team with a Data Scientist!

Fast Track is welcoming a Data Scientist to its Data team to focus on building the Singularity Project – the most comprehensive intelligence hub for player engagement and iGaming CRM. The Data Scientist will regularly test hypotheses, extract and publish data insights, and build actionable and well-documented machine learning models to support our partners’ business success.


As a Data Scientist at Fast Track you will:

  • Define and follow a rigorous process for conducting experiments that lead to evidence based conclusions
  • Assess and analyse business problems and recommend directions that should be taken to provide data driven solutions that provide value to our partners
  • Collaborate with relevant experts to gather industry knowledge and create useful features from data
  • Regularly communicate with key stakeholders to ensure that your findings are answering the relevant questions and that your solutions are actionable
  • Be critical and clearly outline the implications of your findings and the shortcomings of your research
  • Consult on when value can be gained by using machine learning and be responsible for building and maintaining actionable and well documented machine learning models
  • Write up reports that clearly outline your findings and the value they bring in a non-technical manner


Development at Fast Track

We provide a home for high-performance individuals who want to take their game to the next level. Our tech stack is cutting edge and we reinvent ourselves all the time. Continuous integration and deployment with bitbucket pipelines, including relevant workflows and approval processes. We run our code on docker with Kubernetes. All our infrastructure is managed with Terraform (infrastructure as code). Real-time logging of all services in Elasticsearch topped up with nice monitoring through Grafana. Microservice architecture with a RabbitMQ fuelled queue system. For data analytics, we use the power of the ClickHouse database alongside CubeJS and Data Studio, our in-house solution for data visualisation. To further digitalise our development efforts and free up time, we have built internal build servers and monitoring tools to maintain scalability.

Working at Fast Track
Fast Track is a growing tech company delivering solutions built specifically for iGaming. The organisational structure is flat and we currently employ more than 50 people across Malta and Sweden.

Applicants from abroad and COVID information

Relocation for the successful candidate will take place as soon as the situation allows. During this pandemic, all Fast Track staff is allowed to work from home. If relocation is not possible at the time of hire, we would appreciate it if you can work remotely until the situation changes.
Relocation program included (if required); we pay for your flights for you and your family, shipping, and accommodation for the first 2 weeks


Benefits for Fast Track employees

  • We have the best office on the Island with an amazing terrace and sea view
  • We serve free breakfast for all employees every morning
  • Wellbeing benefit, we pay for your wellbeing activities
  • We pay for your mobile plan
  • Free snacks, fruits, and soft drinks at the office
  • Private health insurance for you and your family
  • And of course, best in class equipment – we provide great Macbooks

The ideal candidate for this role has:

  • 3-5 years experience in a similar role applying statistical and machine learning methods to solve business problems
  • A strong understanding of statistical methods and techniques and experience in conducting scientific experiments
  • Excellent understanding of probabilistic modelling and machine learning concepts and algorithms
  • High proficiency in the Python programming language and experience using Python for data science
  • Knowledge of SQL and the ability to aggregate and transform data to generate new features
  • Ability to communicate findings effectively in both technical and non-technical terms
  • Analytical mindset and strong problem solving capabilities
  • Excellent command of verbal and written English
  • Strong communication and listening skills
  • Great attention to detail


Considered a plus:

  • Familiarity with an analytical database (ClickHouse, RedShift, Big Query, Snowflake)
  • Experience in data visualisation
  • Degree in Maths / Statistics / Data Science / Computer Science is a plus