KILONEWTONS
United Arab Emirates
26th July 2025
2507-2105-141
Position: Data Scientist
Company: KILONEWTONS
Location: Dubai, UAE
Experience: Minimum 3 years
Job Type: Full-time
Website: www.kilonewtons.com
About KILONEWTONS
KILONEWTONS is an innovative, data-driven organization at the forefront of digital transformation in Dubai. We’re seeking a talented Data Scientist to join our growing analytics team. If you’re passionate about turning complex data into actionable insights and AI solutions, we want to hear from you!
Job Description
As a Data Scientist at KILONEWTONS, you will leverage advanced analytics and machine learning to solve challenging business problems, drive innovation, and create measurable impact across our organization.
Key Responsibilities
Advanced Analytics: Develop predictive models and machine learning algorithms
Data Mining: Extract insights from large, complex datasets
AI Solutions: Design and implement AI-driven business solutions
Data Visualization: Create dashboards and reports for stakeholders
Model Deployment: Productionize ML models into business applications
Cross-functional Collaboration: Work with engineering and business teams
Research: Stay current with latest data science methodologies
Performance Tracking: Monitor and optimize model performance
Technical Requirements
Minimum 3 years professional data science experience
Advanced degree in Data Science, Computer Science, Statistics, or related field
Expertise in Python/R and data science libraries (Pandas, NumPy, Scikit-learn)
Machine Learning: Supervised/unsupervised learning, deep learning
Big Data Tools: Spark, Hadoop, or similar frameworks
SQL mastery and experience with NoSQL databases
Cloud Platforms: AWS SageMaker, Azure ML, or GCP AI Platform
Deployment Skills: Docker, Flask/FastAPI, CI/CD pipelines
Preferred Qualifications
Experience with NLP/computer vision projects
Published research or open-source contributions
Arabic language skills (advantageous)
Why Join KILONEWTONS?
Cutting-edge technology stack
Work on high-impact business problems
Multinational team of experts
Tax-free competitive salary
Prime Dubai office location
Comprehensive health insurance
Annual flight allowance
How To Apply
Interested candidates should submit:
| Role Level: | Entry-Level | Work Type: | Full-Time |
|---|---|---|---|
| Country: | United Arab Emirates | City: | Dubai |
| Company Website: | https://www.kilonewtons.com | Job Function: | Data Science & AI |
| Company Industry/ Sector: |
Construction | ||
KILONEWTONS (www.kilonewtons.com) founded by Sameer Ahmed, is a Project Management and Multi-Disciplined Engineering company offering services to the industrial sector. Our team has experience with all aspects of Project Management, Engineering, and Designing.Culture and Values:KILONEWTONS believe that people are our greatest strength, bound by ours and Engie Impact’s vision to enable a sustainable world where people, organizations and the environment thrive.We are passionate about making our company and the world a better place; responsible in working with commitment and accountability; collaborative with our colleagues and clients, and agile enough to work in a dynamic, changing industry.The wide-ranging expertise of our diverse team fuels the innovation that places us on the leading edge of the energy and consulting industry.Moreover we nurture our company culture through training, mentoring and professional development that encourages all employees to thrive.Employees will embody the values and culture of the company internally and externally hence drive high performance in a rapidly evolving business and industry.Engage with colleagues in a equally important manner that connects employees with the company’s purpose, demonstrates alignment with company values, and embeds company culture.Act in an ethical manner and follow the principles of the Ethics Charter and Ethics in Practice Guidelines of the Group.Equality and diversity in a company are proof of a positive work environment and effective people management.All employees and applicants must be given equal opportunities, regardless of their age, race, gender, religion, or sexual orientation.
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