86 Data Experts jobs in Kuwait

Position Title Data Scientist

Employment Type: Full Time

Salary: up to 3,500 USD all-inclusive depending on experience and qualifications

Benefits: the company will provide a joining ticket and free accommodation for the first 90 days to those who are hired from overseas.

Job Location: Kuwait

About the Client:

An established retail group based in Kuwait.

Job Description:

• Lead the development of machine learning models and ensure their successful deployment.
• Design and implement ML models based on expertise, research, and requirements
• Collaborate with data engineers to ensure data availability and quality for AI projects.
• Ensure efficient use of cloud and data Lakehouse technologies for AI solutions

Skills

Qualifications:

• Open to European and Indian nationals, Male , 45 years old below
• At least 7 years of experience in machine learning and data science with a proven leadership track record.
• Expert in Python, TensorFlow/PyTorch, and hands-on experience with MLOps tools.
• Demonstrated success in delivering AI/ML solutions to production environments at scale.

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4 weeks ago Be among the first 25 applicants

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SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer
• SAS Certified Data Scientist

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

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• Design and implement advanced analytical models to identify trends, patterns, and relationships in complex datasets
• Develop and deploy machine learning algorithms and predictive models to forecast demand, sales, and other key metrics
• Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven decision-making
• Extract, clean, and prepare large datasets for analysis using tools such as SQL, Python, and R
• Communicate findings and insights to stakeholders, using data visualization and other techniques to present results
• Stay up-to-date with the latest trends and techniques in data science and identify opportunities to incorporate these into the organization's processes and strategies
• Provide guidance and mentorship to junior members of the data science team

Qualifications:

• Strong background in statistics, machine learning, and programming
• Experience working with large and complex datasets in the retail and FMCG industry
• Excellent communication and collaboration skills
• Ability to work effectively with cross-functional teams

Technical Skills:

• Proficiency in programming languages such as Python and R
• Experience with data visualization tools such as Power BI and IBM Cognos
• Knowledge of machine learning algorithms and techniques
• Familiarity with database management systems and SQL.

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**Description**
**Join a team committed to a mission!**
**At Leidos** , we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.
**Are you ready for your next career challenge?**
**Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Civil Affairs Planner to support APOLLO/OPIAS in Qatar.** This role will support Operations in the Information Environment (OIE) initiatives under the J39 directorate by leveraging advanced data analysis techniques to extract actionable insights. The candidate will be responsible for analyzing complex data sets, developing predictive models, and providing data-driven recommendations to enhance Information
campaigns. **This position is on a future contract pending award announcement.**
**Possible locations for this position are as follows:**
· MacDill (Tampa, FL)
· Al Udeid (Qatar)
· Fort Meade (Maryland)
· Northcom (Colorado Springs, CO)
· Camp Humphreys (Korea)
· Arifjan (Kuwait)
· Joint Base Pearl Harbor-Hickam (Hawaii)
· Fort Eisenhower (Georgia)
· Offutt AFB (Omaha, NE)
· Naval Operating Base Norfolk (Virginia)
· Southcom (Doral, FL)
· JB San Antonio (Texas)
· Stuttgart (Germany)
· Vicenza (Italy)
· Tyndall AFB (Florida)
**Key Responsibilities:**
+ Conduct analysis of structured and semi-structured data sets, which include opinion research, social media-based big data, and various secondary-source indices.
+ Review the methods and means to provide data visualization and quantitative analysis to the team.
+ Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command and Control of the Information Environment (C2IE) system.
+ Support the analytics and assessment team in the construction and modification of research design.
+ Acquire, process, and integrate impactful data from various commercial and customer sources, including HUMINT, SIGINT, OSINT, and GEOINT.
+ Apply advanced analytical techniques, including machine learning, natural language processing, and deep learning, to identify trends and patterns.
+ Develop predictive models to support influence operations and behavioral targeting.
+ Collaborate with OIE planners, OIE analysts, and Data Engineers to ensure effective data utilization.
+ Visualize data insights through dashboards and reports for decision-makers.
+ Evaluate the effectiveness of OIE campaigns using data-driven methods.
+ Stay current on emerging data science techniques and tools relevant to OIE.
+ Provide recommendations to senior leadership on data-driven strategies for OIE.
+ Define the means to create data visualizations and quantitative analysis to support mission needs.
+ Review/analyze statistical data received from team members, other agencies, and CCMD organic assets.
+ Review empirical/quantitative studies conducted by similar organizations and determine reliability, validity, and other strength factors for potential use in theater.
+ Provide data visualization and explain quantitative analysis from the research team / vendors and quantitative analysis.
+ Responsible for contributing to analytic and assessment projects evaluating the Information Environment (IE) for a variety of Combatant Commands (CCMDs), supported through Leidos Checkmate
**Basic Qualifications:**
+ Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
+ 8+ years of experience in data science, with a focus on predictive analytics, machine learning, and statistical modeling
+ Experience with data visualization tools (Tableau, Power BI, Matplotlib)
+ Experience with natural language processing (NLP) and text analytics
+ Proficiency in Python, R, SQL, and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
+ Strong problem-solving and critical-thinking skills
+ Familiarity with data security protocols for classified environments
+ Active TS/SCI security clearance
**Preferred Qualifications:**
+ Graduate degree (MS, PhD) in Data Science or related fields
+ Experience supporting Joint Intelligence or U.S. Geographic Combatant Commands
+ Experience with advanced analytic tools (Open.IO, Echosec, Babel Street, Scraawl)
+ Experience with geospatial analytic tools (ArcGIS, QGIS)
+ Experience with data manipulation and analysis tools (SPSS, STATA, IBM Watson)
+ Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
+ Demonstrated experience with Command and Control of the Information Environment (C2IE)
+ Demonstrated experience briefing senior military leadership (O-5 and above)
+ Expertise in OSINT, including social media monitoring and analysis.
+ Ability to conduct complex data queries and scripting for automation.
Come break things (in a good way). Then build them smarter.
We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."
**Original Posting:**
July 30, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
**Pay Range:**
Pay Range $104,650.00 - $189,175.00
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
REQNUMBER: R-00163314-OTHLOC-PL-2D0386
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.

Position Title Data Scientist Employment Type: Full Time Salary: up to 3,500 USD all-inclusive depending on experience and qualifications Benefits: the company will provide a joining ticket and free accommodation for the first 90 days to those who are hired from overseas. Job Location: Kuwait About the Client: An established retail group based in Kuwait. Job Description: Lead the development of machine learning models and ensure their successful deployment. Design and implement ML models based on expertise, research, and requirements Collaborate with data engineers to ensure data availability and quality for AI projects. Ensure efficient use of cloud and data Lakehouse technologies for AI solutions Skills Qualifications: Open to European and Indian nationals, Male , 45 years old below At least 7 years of experience in machine learning and data science with a proven leadership track record. Expert in Python, TensorFlow/PyTorch, and hands-on experience with MLOps tools. Demonstrated success in delivering AI/ML solutions to production environments at scale.

#J-18808-Ljbffr

4 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

Analyze large datasets to identify trends, patterns, and insights that can inform business strategies Develop and implement predictive models and machine learning algorithms to solve complex business problems Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs Design and conduct experiments to test hypotheses and validate results Communicate findings and recommendations to stakeholders through presentations and reports Continuously monitor and improve model performance through regular updates and refinements Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work Build and maintain data pipelines to ensure the availability of data for analysis and reporting Work with data engineering teams to ensure data is collected and stored effectively for analysis

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience as a Data Scientist or in a similar analytical role Strong programming skills in Python, R, or similar languages Proficiency in SQL and experience with relational and non-relational databases Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras) Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios Excellent analytical and problem-solving skills Strong communication skills, both verbal and written, in English and Arabic

Preferable Certificates:

Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer SAS Certified Data Scientist

Seniority level

Seniority level Entry level Employment type

Employment type Full-time Job function

Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at SWATX by 2x Sign in to set job alerts for “Data Scientist” roles.

Senior Mechanical Engineer – Data Center

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Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Create Alert Design and implement advanced analytical models to identify trends, patterns, and relationships in complex datasets Develop and deploy machine learning algorithms and predictive models to forecast demand, sales, and other key metrics Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven decision-making Extract, clean, and prepare large datasets for analysis using tools such as SQL, Python, and R Communicate findings and insights to stakeholders, using data visualization and other techniques to present results Stay up-to-date with the latest trends and techniques in data science and identify opportunities to incorporate these into the organization's processes and strategies Provide guidance and mentorship to junior members of the data science team Qualifications: Strong background in statistics, machine learning, and programming Experience working with large and complex datasets in the retail and FMCG industry Excellent communication and collaboration skills Ability to work effectively with cross-functional teams Technical Skills: Proficiency in programming languages such as Python and R Experience with data visualization tools such as Power BI and IBM Cognos Knowledge of machine learning algorithms and techniques Familiarity with database management systems and SQL.

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The Data Scientist's responsibility is to form all incoming structured and unstructured data to derive business insights through expert mathematical, analytical, and computational techniques to discover the insight that empowers data-driven decision making. Collaborate with experts in a business area, getting an understanding of the underlying business process, strategy, and execution. Build predictive models, machine learning algorithms, statistical analysis, and define the output of use cases for end-user consumption to perform optimization analytics.

Ability to commute/relocate:

- Kuwait City: Reliably commute or planning to relocate before starting work (required)

Join to apply for the IoT Data Engineer role at Canonical

2 days ago Be among the first 25 applicants

Join to apply for the IoT Data Engineer role at Canonical

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
• Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
• Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
• Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
• Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale.
• Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
• Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
• Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
  
  

What we are looking for in you

• You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
• You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance.
• You bring proven expertise in designing and optimizing systems using:
• IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
• Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
• Designing high-throughput, low-latency systems for IoT data processing.
• Data streaming technologies (MQTT, Kafka, RabbitMQ)
• Observability tools (OpenTelemetry)
• Industrial/engineering data exchange protocols (OPC-UA, ModBus)
• You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
• You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
• You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
• You are familiar with Ubuntu as a development and deployment platform.
• You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
• Willingness to travel up to 4 times a year for internal events.
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries Software Development

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