• Big Data Principle Professional Riyadh Saudi Arabia
  • Mobily in Riyadh Saudi Arabia, , Saudi Arabia
  • jobs
  • 6 days ago

jobs description

Job Summary
• Design, build and implement outstanding, robust, actionable analytical business solutions makes use of big data including structured data (ex: Teradata based customer database, large analytical table, offers response) and unstructured data (social media interactions, network transaction, survey response, web browsing, customer foot-falls) to identify the best practice for big-data use cases in line with business objectives.
• Communicating complex analytical and technical concepts to a business audience.
• Identify key questions that can be answered with data and advanced analytics, leveraging unstructured, noisy and big data where appropriate.
• Formulate the analytical approach and data acquisition strategy to answer the questions identified
• Go through all phases and iterations required to deliver analytical solutions, from data exploration, cleansing or feature creation to building models and creating compelling visualizations, making sure the solution answers a... relevant business problem
• Conduct data discovery and exploration for unstructured data and perform the standard preprocessing procedures.
• Visualize and tell stories with data, take decision based on this data and present results to business areas
• Develop and deliver model’s outcome and performance reporting, critical for tracking and managing the business, including weekly, monthly, and quarterly operational metric reports.
• Identify new datasets to be capturedto enrich the drive analytical attributes.
• Design, develop and maintain algorithms to extract relevant information from big amounts of data, scalable software systems and algorithms to clean, standardize, and analyze raw data.
• Evaluating and differentiating techniques, tools and approaches to Deep Learning problems
• Explanation and documentation of analytical model’s techniques and results.
• Development of SQL to enhance existing stored procedures.
• Maintain already developed automated end-to-end flow.
• Write clean, scalable and fast performing code according to guidelines and quality standards (solid principles, code readability, pattern use) and review other developers’ code.
• Drive the implementation of the analytical strategy and work with functional business leaders to build scalable processes and metrics.
• Pursue the generation of common components and best practices of big-data use cases and fostering the reuse of big-data technology and platform.
• Participate in “make” vs. “buy” decisions from a technical point of view concerning technology.
• Demonstrated track record of prototyping and launching industry leading big-data solutions.
• Spearhead innovation in the application of data analytics to highlight the potential use cases for external big-data monetization.
• Participating in learning and training initiatives for the wider analytics teams

• Strong Background in Predictive modelling , Machine Learning, Data mining and Artificial Intelligence, including: Support vector machines, Bootstrap aggregating / bagging, Cluster analysis, Cascading classifiers, Decision trees, Time series analysis & time series forecasting, Boosting, Factor analysis, Structural equation modelling, Item response theory, Markov chains, Voronoi diagrams, Neural networks, Genetic algorithms, Data visualization, Bayesian modelling, Multivariate regression, Logistic regression, etc.
• Solid understanding of data management, implementation of machine learning algorithms and various statistical modelling techniques.
• Good understanding of the science behind machine learning algorithms (supervised and unsupervised algorithms), statistical and optimization techniques.
• Ability to attach complex business questions with data and curiosity to dive deep, identifying the root cause and “so what” rather than just the trends.
• Thrive in an environment that is tasked with providing data-driven decision support and business intelligence that is timely, accurate and actionable.
• Eeffective prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion under tight deadlines.
• Experience in data mining using databases in a business environment with large-scale, complex datasets.
• Effectively communicate with both business and technical teams.
• Think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solutions.
• Hands on experience in SQL, PL/SQL, Excel, Linux and OLAP, SAS, Scala, R, Python (data extraction, manipulation, data insights).
• Experience with data presentation and visualization tools (Shiny, Tableau, Power BI, JasperSoft, QlikView, MicroStrategy, Business Objects) and able to translate complex insights in a story telling dashboard.
• Good understanding of Hadoop Ecosystem components, Hadoop MapReduce framework, streaming processing frameworks.
• Experience of Hadoop-based analytical tools (Mahout, Hive, Pig. RHadoop, MOA, Jabatus, Alpine, etc.)
• Proficiency in query languages like Hive and NoSQL databases like HBase.
• Graph analysis, Geo-spatial analysis and NLP is plus.
• (PhD is a plus).


Quantitative discipline - Computer Science Engineering/ Applied Mathematics/ Statistics, or related
Riyadh Saudi Arabia


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