Data Scientist

Компанија: CV-Library
Вид на работа: Полно работно време

Spinwell Global is looking to recruit a Data Scientist for a reputable organistion located in Saudi Arabia. The Data Scientist’s primary role is to support our clients facility management organization with insights gained from analyzing company data and to support data-driven initiatives. The ideal candidate is adept at using large data sets to find opportunities for process optimization, and using models to test the effectiveness of different courses of action.

Minimum Requirements:

* As the successful candidate you will hold a Bachelor’s degree in Statistics, Mathematics, Computer Science or another quantitative field from a recognized and approved program. An advanced degree is preferred.

* You will have five to seven years of experience in manipulating data sets and building statistical models.

* You will have strong problem-solving skills with an emphasis on product development.

* You will have experience using statistical computer languages (i.e., R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

* You will have experience working with and creating data architectures.

* You will have knowledge of a variety of machine learning techniques (i.e., clustering, decision tree learning, artificial neural networks, etc.) and their real- world advantages/drawbacks.

* You will have knowledge of advanced statistical techniques and concepts (i.e., regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

* You will have excellent written and verbal communication skills for coordinating across teams. Able to explain the “so what” of data findings in a clear manner.

* You will be driven to learn and master new technologies and techniques.

* You will be able to demonstrate experience with appropriate software/tools, including:

* Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.

* Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

* Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

* Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.

* Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.

* Experience analyzing data from third party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

* Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

* Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc


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