Data Scientist

JobItUs
AE - Dubai
November 6, 2024
IT

Work Experience:
5.0 Year(s) To 10.0 Year(s) We have an urgent opening for the position of Data Scientist for a reputed Company at Dubai location.
Company Profile:
Established in 1999, the Company is a global provider of digital transformation solutions in the areas of Predictive Analytics, Digital Experience, and Digital Supply Chain Management, and has delivered solutions in 20 countries across North America, the Middle East, Far East, Africa, and Asia.

Department - INNOVATION DISCOVERY & PA NON TECHNICAL SKILLS Critical thinking:
Objectively analyze questions, hypotheses, and results; understand what resources are critical to solving a problem; look at problems from differing views and perspectives.
Effective communication:
Explain what data-driven insights mean in business-relevant terms; communicate information in a way that highlights the value of action; convey the research process and assumptions that led to a conclusion.
Proactive problem solving:
Identify opportunities and explain problems and solutions; know how to approach problems by identifying existing assumptions and resources; identify the most effective methods to use to get the right answers.
Intellectual curiosity:
Drive the search for answers; dive deeper than surface results and initial assumptions; think creatively with a drive to know more; constantly ask 'why'.
Business sense:
Understand the business and its special needs; know what organizational problems need to be solved and why; translate data into results that work for the organization.
TECHNICAL SKILLS Ability to prepare data for effective analysis:
Source, gather, arrange, process, and model data; analyze large volumes of structured or unstructured data; prepare and present data in the best forms for decision-making and problem-solving.
Ability to leverage self-service analytics platforms:
Understand the benefits and challenges of using data visualization; know and apply best practices and techniques when creating analyses; ability to share results through self-service dashboards or applications.
Ability to write efficient and maintainable code:
Create programs or algorithms to parse data; collect and prepare data through APIs.
Ability to apply math and statistics appropriately:
Perform exploratory data analysis and identify important patterns and relationships; apply rigorous statistical thinking to extract signal from noise.
Ability to leverage machine learning and artificial intelligence (AI):
Understand how and when machine learning and AI is appropriate for the business; train and deploy models to implement productive AI solutions.
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