emaratech UAE Jobs Careers 2024: Apply for Data Scientist Vacancy in Dubai UAE

emaratech UAE Jobs Data Scientist looking for a rewarding career opportunity in the UAE? Look further! emaratech Customs is currently hiring for the position of Data Scientist in Dubai, UAE.

Data Scientist looking for an exciting opportunity in the UAE, we want to hear from you! Apply now through the emaratech Customs UAE careers page link provided below to join our dynamic team. If you have a Bachelor’s degree and relevant experience in Siebel administration, this could be the perfect job for you!

emaratech UAE Jobs Careers 2023 – Apply for Data Scientist Vacancy in Dubai

Government organizations in the UAE. Apply now and be part of the team. Hurry ! great news for job seekers. emaratech UAE Jobs site publish notice for various jobs vacancy in their offices emaratech Customs offers a competitive salary of AED 10,000.00-22,500.00 per month approximately, along with other benefits and opportunities for career growth.

emaratech UAE Jobs Careers Information Table

Company Name: emaratech UAE
Job Title: Data Scientist
Apply Mode Online
Salary AED 10,000.00-22,500.00 per month
Location Jobs in Dubai
Job Type Jobs In UAE (United Arab Emirates)

emaratech UAE Jobs Careers Description/Overview

Data Scientist

As a Data Scientist you will be responsible for using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. The ideal candidate must have extensive experience of using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. They must be passionate for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Core Responsibilities:

Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build innovative and market competitive solutions
Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools
Effectively communicate the analytics approach and how it will meet and address objectives to business partners
Advocate and educate on the value of data driven decision making focusing on the how and why of solving problems
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts, and developers
Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products
Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods, and standards.
Required Qualifications:

Bachelors degree in Data Sciences/Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.). Advanced degree will be preferred
10+ years of experience in Software development
6 or more years’ experience in applied data science role in a progressive workplace
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets Experience querying databases (SQL, Hive)
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.

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