Current Vacancies


Welcome to our vacancy portal. NetRefer, a leading provider of performance marketing software, is currently seeking sharp and motivated people to join and strengthen our rapidly growing teams.

The following posts are available in our headquarters in Malta. Please select your preferred vacancy and proceed to apply.

Data Scientist

Data and Analytics Team

Positions
1
Location
Malta

NetRefer is the industry leader in the provision of Unified Performance Marketing. We power the most successful and high-volume partner programs through a centralized and scalable platform of products.  Be it talent or clients, NetRefer continues to attract the best of the best.

At NetRefer we place our clients at the heart of everything we do. The only way we can do that is to place our team at the heart of everything we do. If you are purpose driven, passionate and believe in the potentiality of aligned synergistic actions, then we may just be the perfect match you’ve been looking for.

 

Position Overview:

NetRefer is looking for a savvy data scientist to be part of our Data and Analytics Team, to deliver world class data-driven products information about internal processes of the company.  These products are aimed directly at improving our clients’ bottom-line. Developing such products requires the best brains to discover valuable patterns and insights from the underlying data. The chosen candidate will be a key person in hunting for these insights.

 

Essential Job Functions:

  • The chosen candidate needs to be able to apply statistics, maths, machine learning, and predictive modelling to business requirements using various software tools.
  • Discover new information from the underlying data.
  • Elaborate strategies for the computation of DS models.
  • Working either in internal processes (mainly reports and small dashboards for specific internal purposes) and external (building highly standardised products, dashboards, models).
  • Ability to Extract the data in a timely manner according to business objectives.
  • Ability to operationalise Data Science experiments by creating, computing and calling web services.
  • Maintain the current Data Science processes to improve or change them.

 

Skills and Experience Required:

  • Inquisitive skills – to explore data and ask “What if” and “What is” questions.
  • New BI/ML/Statistical tools either from back-end and front-end point of view (Microsoft Azure is a big plus)
  • Research for new topics and models with other teams according to business requirements.
  • Proven experience in data analytics and statistics is a must (tools: R/Python).
  • Proven experience in visualising data, creating dashboards (tools: Dundas BI/ RShiny / Power BI, ggplot or any other R and Python package for this purpose).
  • The ability to query databases and perform statistical analysis (SQL, USQL) is a must.
  • A commercial mind-set with the ability to understand the business strategy.
  • The ability to work in an agile team environment.

 

Desired Skills:

  • Master/PhD in quantitative field
  • Knowledge of the IT architecture of a Data Science work environment such as Microsoft R server, Rstudio server, AWS, Cloudera… is highly desired.
  • Knowledge of cluster-based approaches for studying data science like Hadoop
  • Knowledge of querying the data using TSQL and USQL.
  • Knowledge of Dundas. Other tools like Tableau, Qlikview, Necto, RShiny or ggplot package are also considered.
  • Managing the ETL related to Data Science.
  • Knowledge of R/Python packages for data visualisation (for instance ggplot library), report creation (for instance R Markdown library), dashboard implementation (for instance RShiny)