Data Scientist, Analytics, BI Engineer

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Data Scientist, Analytics, BI Engineer

14 Dec 2019

RAACOM info systems is seeking a keen and capable Data Scientist to join our team of seasoned professionals working on all thig Data.If you come from a strong data analytics / data science background with technical experience across data mining & filtration, statistical data modeling – this is one opportunity you cannot miss.

In this Role you will:


  • Assemble a large, complex data sets that meet functional / non-functional business requirements

  • Participation in the delivery of a suite strategically-identified, cutting-edge data science use-cases that will cover retail, Banking, finance, Healthcare and other opportunities

  • Developing visualizations that you will use to influence key stakeholders to implement key recommendations from data science initiatives

  • Working with data engineers and other team members to development of products and solutions

  • Working with our Data Governance function to identify opportunities and uplift data collection and quality practices

  • Groom the team and take lead in solving complex problems to deliver innovative products using Machine Learning, Deep Learning, andArtificial Intelligence



To be Successful in this role you will need:

  • Proven experience as a Data Scientist / BI Analytics Consultant

  • Education background in Applied Statistics, Mathematics, or a similar Data Stat Modeling field;

  • Data development and visualization experience with Python/R/SQL/flash

  • Working knowledge of Tableau, PowerBI, Qlik and so on.

  • Experience working on a cloud based data platform such as AWS, Google Cloud, Microsoft Azure or a similar platform

  • Demonstrated experience in data mining, data filtering and building predictive / regression models using different methodologies such as decision trees, time series and/or Bayesian statistics

  • Expertise in building statistical models in tools such as Python, R or SAS with exposure to DataBricks/Spark and Azure-based ML technologies preferable