Sr. Data Scientist, Data Analytics
Specialized Technical Services – STS, Jordan

The Data Scientist will collect and use data to help in decision-making. Duties and responsibilities include the following:

• Collecting data through means such as analyzing business results or by setting up and managing new studies
• Transferring data into a new format to make it more appropriate for analysis
• Creating new, experimental frameworks to collect data
• Building tools to automate data collection
• Searching through large data sets for usable information
• Creating reports and presentations for business uses
• Correlating similar data to find actionable results
• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and Interpret data with a clear objective in mind
• Implement analytical models into production by collaborating with software developers and machine learning engineers.
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
• Use strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights
• Use these insights to influence how an organization approaches business challenges
• Use a combined knowledge of computer science and applications, modelling, statistics, analytics and math's to solve problems
• Extract data from multiple sources
• Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities
• Communicate important information and insights to business and IT leaders
• Make recommendations to adapt existing business strategies

Requirements

• Bachelor’s degree in Computer Science, Math, Software Engineering, Statistics, or any related field
• 12+ years of extensive experience in Data Analytics and Data Science
• Knowledge of programming languages like SQL, Python, R, Scala and Java
• Familiarity with business intelligence tools (e.g., Tableau amp; MS Power BI, Oracle Analytics)
• Strong mathematics skills (e.g., statistics, algebra)
• Experience with big data technologies such as Cloudera, Hadoop, Kafka and Spark
• Advanced ability to perform exploratory data analysis
• Experience with common data science toolkits
• Working knowledge of statistics
• Exceptional technical writing skills
• Ability to communicate complex data in a simple, actionable way
• Ability to visualize data in the most effective way possible for a given project or study
• Analytical and problem-solving skills
• Experience with machine learning, deep learning, Robotics and AI
• Familiarity with data management tools
• Ability to work independently and with team members from different backgrounds
• Excellent attention to detail

Job Rewards and Benefits