Mar 02, 2018

Data Scientist UAE Jobs - PwC

  • PwC
  • Dubai - United Arab Emirates
Full time Engineering Jobs Information Technology (IT) & Telecom Jobs

Job Description

Job Title:  Data Scientist

Company Name: PwC

Location: Dubai, United Arab Emirates (UAE)

 

Job Summary: The Data Scientist will work for PwC’s innovation lab in the Middle East. You will collaborate with a multi-disciplinary team of architects and data analysts on a wide range of problems. We are focused on incorporating the latest in machine learning, Big Data, NoSQL, cutting edge development languages, and advanced data processing techniques to include structured and unstructured information in a loosely coupled ecosystem delivering a technology platform that positions PwC for the future. We are focused on incorporating the latest in machine learning, Big Data, NoSQL, cutting edge development languages, and advanced data processing techniques to include structured and unstructured information in a loosely coupled ecosystem delivering a technology platform that positions PwC for the future.

 

Key Duties and Responsibilities:

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of complex data structures and metrics, advocating for changes where needed for both products development and sales activity.
  • Make business recommendations (e.g. cost-benefit, forecasting, and experiment analysis) with effective presentations of findings to multiple levels of stakeholders through visual displays of quantitative information.
  • Research and develop analysis, forecasting, and optimization methods to improve the quality of our client’s products and services; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments.

 

Qualifications, Skills and Experience:  

  • The applicant must hold a MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
  • At least two years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist)
  • Experience with statistical software (e.g., R, Julia, MATLAB, pandas) and database languages (e.g., SQL).
  • 2+ year experience with statistical tools (e.g. R) and analysis, regression modeling and forecasting, time series analysis. Able to write SQL scripts for analysis and reporting ( SQL, MySQL)
  • Experience using one or more programming languages (e.g. Python, Java, C++, C#, Ruby)
  • Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests;
  • Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.
  • Utilizing programming skills and knowledge on how to write models which can be directly used in production as part of a large scale system.
  • Experience in machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.)
  • Experience with clustered data processing (e.g. Hadoop, Spark, Map-reduce, Hive)
  • Experience in communicating technically, at a level appropriate for the audience Demonstrated leadership and self-direction.
  • Demonstrated willingness to both teach others and learn new techniques

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