Lead Data Scientist

Our client is an information technology company with corporate headquarters in Limassol, Cyprus. They are a world leader in the research and development world of state-of-the-art methods for ingesting data from heterogenous sources and adapting it to bespoke and intuitive solutions for civilian protection and they are currently looking to hire a skilled Lead Data Scientist to join their team.

The ideal candidate will focus on different aspects of their Data Fusion Engine such as anomalies, recommendation systems etc.

• Build, lead, mentor and manage a team of Data Scientists
• Conduct exploratory analysis and develop statistical models to answer key product usage and engagement questions
• Developing predictive models with time series data and sequential modelling
• Extract actionable insights from complex data sets and report them via appropriate dashboards and visualisations
• Apply customer profiling, leading to customer segmentation schemes, based on company strategy and customer behaviour
• Build, scale and evolve our platform recommendations services
• Take an active interest in our product and bring the best content to users based on their profile

• Previous experience in a similar role is mandatory
• Hands-on experience in developing algorithms in the fields of data machine learning using Python
• Strong analytical skills and creative thinking
• Experience implementing Machine Learning and Deep Learning algorithms using libraries such as sci-kit-learn, Tensorflow, PyTorch
• Experience working with SQL and NoSQL databases
• Knowledge of Data Structure (Big O notation; time complexity)
• Experience with Git and Version Control
• Excellent communication skills
• Ability to guide and mentor people
• Fluent in English

• Prior experience with Recommender Systems, Personalization, Natural Language Processing
• Docker
• Experience with graph databases ie neo4j, arangodb, orientdb

• Competitive salary based on skills and experience
• Yearly performance bonus
• Working from home policy & Flexible hours
• Free daily lunch allowance
• Medical insurance allowance
• Udemy unlimited membership
• Sport/Gym monthly allowance
• Engage with new technologies and innovative products