Job Description
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.
Reference #: GC004374
Job Responsibilities
- 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
Requirements
- 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
Will be considered as a bonus:
- Prior experience with Recommender Systems, Personalization, Natural Language Processing
- Docker
- Experience with graph databases ie neo4j, arangodb, orientdb
What You’ll Enjoy:
- 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