Scancruit Job vacancies - Dubai, Data Scientist

Scancruit Job vacancies - Dubai, Data Scientist
Scancruit Dubai


Our client is a premier maritime solutions provider to governments, businesses and organizations across all the seven continents of the world. They are known as the industry leader in safety and innovation in maritime support services.

Global maritime excellence is their hallmark ever since the company was born, to continue doing so they need a Data Scientist who is always curious and creative enough to help support the IT Department in providing the utmost service to their clients across the globe.


You will play a focal role in planning, executing and delivering machine learning-based objects. The bulk of your job will be in machine learning (ML) modelling, management and problem analysis, data exploration and preparation, data collection and integration. At times, you need to cover related roles of DevOps and data engineer.


  • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
  • Identify data-driven/ML business and data sources for revenue generation opportunities
  • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
  • Understand and acquire access to various databases, and other source systems such as SQL or graph databases
  • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbour Embedding (t-SNE), principal components analysis (PCA)
  • Generate hypotheses using various quantitative methods about the underlying mechanics of the business process
  • Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
  • Implement champion/challenger test (A/B tests) on production systems

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  • Bachelor’s or Master’s degree in Computer Science or Data Science
  • Must have a specialization in ML, AI, Cognitive Science or Data Science
  • Well-versed on JD Edwards Technical skills and COGNOS Report design skills
  • Coding knowledge and experience in several languages: for example, [R, Python/Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.].
  • Experience with popular database programming languages including [SQL, PL/SQL, others] for relational databases and upcoming nonrelational databases such as [NoSQL/Hadoop-oriented databases such as MongoDB, Cassandra, others].
  • Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Kafka, also MySQL, and so on
  • Experience of working on cloud environments such as Microsoft Azure
  • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: [RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics].
  • Knowledge and experience in statistical and data mining techniques


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