14 Senior Data Scientist jobs in Kuwait

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.

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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

Software Engineer - Python - Container Images

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

Software Engineer - Python - Container Images

Software Engineer - Python - Container Images

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Mechanical engineer to work as a scientific researcher & designer

Software Engineer (Python/Linux/Packaging)

Pre-Sales Engineer (Systems and Infrastructure Solutions)

Python Software Engineer - Ubuntu Hardware Certification Team

Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu

Senior Electrical Engineer – Data Center

Software Engineer - Solutions Engineering

Sr. Specialist Special Projects & Performance

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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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Analyze raw data : assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements

This job has been sourced from an external job board.

Overview

We are looking for a brilliant and highly motivated Staff Data Scientist to join our innovative Data Analytics and Optimization team! This isn't just another analytics role – you'll be at the forefront of transforming Atlas Air through the power of data.

In this position, you will develop data-driven technology solutions for a variety of high-dimensional resource management problems in aviation involving complex trade-offs under uncertainty. You will collaborate with leaders across our organization to uncover hidden opportunities, tackle challenging data puzzles, and build sophisticated predictive and prescriptive models that drive real-world impact. Your insights won't just live in dashboards – the fruits of your work will shape our strategic direction, be operationalized in our processes, and will fuel our competitive advantage.

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical concepts into compelling stories that inspire action among non-technical leaders.

If you're passionate about using cutting-edge science and technology to solve meaningful problems and want to be part of a team that values your analytical superpowers, this role is your next adventure!

Responsibilities

• Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities for leveraging data to drive business solutions around airline operations.
• Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success metrics.
• Translate business requirements into data science or analytics projects with well-defined deliverables and timelines.
• Design and conduct experiments to test hypotheses and measure the impact of work against objectives.
• Collect, process, clean, and analyze structured and unstructured data from various internal and external sources.
• Extract, transform, and analyze large datasets from various sources.
• Perform exploratory data analysis to uncover patterns, trends, and relationships within large datasets.
• Design, develop, and maintain sophisticated decision support tools leveraging machine learning and optimization models and algorithms to solve business challenges and unlock value.
• Create clear data visualizations and compelling narratives to communicate findings to technical and non-technical audiences.
• Mentor less experienced data scientists, providing technical guidance, setting clear objectives, and fostering professional growth.
• Stay current with emerging techniques and technologies in data science and machine learning.
• Collaborate with data engineering to implement production-ready solutions.
• Monitor model performance and iterate on solutions as needed.
• Establish best practices and methodologies for the data science function.
• Research and implement new methodologies and technologies to improve Atlas Air’s data and AI/ML

Qualifications

Must-Have:

• Master’s degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of hands-on experience in a data science or similar analytical role, with a track record of impact.
• Expertise in programming languages such as Python, R, or similar programming languages for data analysis.
• Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.).
• Strong knowledge of statistical analysis and hypothesis testing.
• Strong understanding of statistical modeling, machine learning algorithms, hypothesis testing, and optimization.
• Excellent communication, presentation, and interpersonal skills with the ability to translate complex technical concepts to non-technical audiences.
• Proven ability to translate business requirements into technical solutions.
• Proven ability to apply software engineering best practices
• Experience working in production-grade Python code including proficiency with git, testing, and other software engineering best practices.

Nice-to-Have:

• Master’s degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Domain expertise in aviation, transportation, or logistics.
• History of technical leadership on significant data science initiatives.
• Contributions to related research publications and/or open-source projects.
• Experience with big data platforms (e.g., Spark/Databricks).
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
• Experience with optimization libraries (OR-Tools, Gurobi, or CPLEX)

Salary Range: $165,000 - $225,000

Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.

The Company is an Equal Opportunity Employer. It isour policyto afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Lawdocument at

To view our Pay Transparency Statement, please click here:Pay Transparency Statement

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**The Company:
Ooredoo is an organisation on the move. Thanks to our dedicated employees, we continue to move closer towards our vision to be among the top 20 telecommunications companies in the world by 2020.

We are a dynamic global telecommunications player operating in 17 countries across the Middle East, North Africa (MENA) and Asia. We cover a population of more than half a billion people and serve more than 68 million customers.

In Kuwait, we employ approximately 1,000 talented people, all of whom are driving Ooredoo to be the number one choice for world-class communications services in Kuwait. In the face of intensifying competition, increasingly sophisticated technology and rising customer expectations, nothing is more important to our success than our team - and it's a team that you can be part of.

Ooredoo's future is bright, and you can be part of our ongoing success.

**The Role:
The role of the Data Scientist is to answer critical business questions around commercial functions, covering critical domains such as funnel optimization, customer retention, experience, business investment prioritization and opportunity identification, process automation. The Data Scientist will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The position will Strengthen the advanced analytics capabilities by working closely with commercial Business Unit on impactful use cases and thus contributing to business strategy and roadmap.

Ensuring the delivery of top-notch projects that yield substantial business value through various Data Science models such as Recommendation Engines, propensity models, and diverse segmentation techniques will also be your responsibility.

Furthermore, you'll play a pivotal role in driving initiatives related to data monetization strategies and identifying fresh business prospects by leveraging AI and data analytics to uncover potential revenue streams.

**Key Accountabilities and Activities:
**1-** **Advanced Analytics & Data Modelling **(To All Commercial Functions)**
- Understand business requirement for Consumer Business Unit and implement data Science models to do value addition on top of existing analytics
- Full stack AI/ML based model development & Lifecycle management.
- DS Requirement analysis and Project management
- Statistical analysis and data visualization.
- Develop and deploy various AI & DS models for revenue generation, cost reduction, and operational enhancement.
- Collaborate with diverse teams to devise innovative data products for B2C and B2B markets.
- Conduct comprehensive business analysis to provide insights for strategic decision-making.
- Perform data pre-processing, feature engineering, and exploratory data analysis.
- Build ETL pipelines to transform unstructured data into suitable formats.
- Develop automated analytics solutions and APIs for data access and integration.
- Integrate with big data ecosystems and optimize SQL queries.
- Utilize tools like Airflow/ MLFlow for automated data pipelines and statistical methods for transformation.
- Working as part of shared function across organization on use cases to support product growth, cost optimization, customer engagement etc.
- Feature engineering and insights through statistical measures/algorithms/graphs/info graphics.
- Support to enhance business processes for data monetization, commercialization whilst offering valuable insights to improve customer experience across touch points.
- Presenting results of the models in a business friendly format
- Visualization of key business insights and data using advanced techniques and tools
- Continuous support to use case owner departments by optimizing the models via optimization and self-learning
- Aggressive tracking of results and utilization of leads.
- Manage the Data Science Operational Framework
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Propose solutions and strategies to business challenges using key insights from AA models.

**2-** **Use Case Formulation & Insights exploitation **(Marketing / Sales Team Specific - **B2B / B2C **)**
- Work closely with marketing team and provide segment specific recommendations and insights to improve targeting efficiencies and yield.
- Work in close coordination with CVM team and develop cross functional shared business use cases.
- Develop strategic use case models such as customer 360, LTV, Survival models, segmentations.
- Develop use cases for sales and distribution using spatial data / NW data and competition customer data.
- Harvest social data for targeted communication, customer sentiments, identifying behavioral and interest based communities digital targeting.

**3-** **Data ecosystem Development & Maintenance **(Technology)**
- Closely work with Technology BI team on matters related to Data, platforms and software.
- Identify and integrate new data sources to Big data platform.