Job Description

Role : Tire 1 - Assocaite Manager / Tire 2 Lead Consultant - DATA SCIENTIST

Location : Dubai

Data team is responsible to integrate new data sources and build data models & data dictionaries for data products created in the Digital Studio. The ultimate goal is to design and build data products to support squads in Digital Studio with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data. The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.

Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience .

• Master's or Ph.D. in statistics, mathematics, or computer science
• Experience using

such as R, Python, SQL, etc. * Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees,
, social network analysis * Experience working with and creating data architectures

• Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks
• Knowledge of advanced statistical techniques and concepts, including

, properties of distributions, and statistical tests * Minimum 6+ years of experience
and building statistical models * Experience using web services: Azure AI/ML , Redshift, S3, Spark, DigitalOcean, etc.

• Experience analyzing data from third-party providers, including Google Analytics, Site Catalyst, Coremetrics, AdWords, Crimson Hexagon, Facebook Insights, etc.

• Experience with distributed

: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. * Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

please recah you to Hema Javvadi : javvadih@virtusa.com