86 Junior Data Scientist jobs in Qatar

The Data Scientist focuses on developing algorithms, data analysis, and insights to drive business innovation and efficiency. This role involves working with large datasets, developing predictive models, and collaborating with cross-functional teams to deliver data-driven solutions.

1. Develop and implement data science projects, including the design and development of algorithms and models.
2. Collaborate with stakeholders to understand business requirements and translate them into data science solutions.
3. Analyze large datasets to extract insights, identify trends, and support decision-making.
4. Develop and validate predictive models, machine learning algorithms, and statistical analyses.
5. Ensure the accuracy, quality, and relevance of data science outputs.
6. Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions.
7. Provide support and guidance to other team members as needed.
8. Ensure compliance with data governance, security, and regulatory standards in all data science activities.
9. Prepare and present data science reports and documentation to senior management and stakeholders.
10. Participate in project planning and contribute to the development of project timelines and deliverables.
11. Perform other duties relevant to the job as assigned by the Sr. Data Scientist or senior management.

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Relevant certifications (e.g., Certified Data Scientist, Google Cloud Professional Data Engineer) are preferred.
• Minimum of 3 years of experience in data science or related fields.
• Experience in developing and implementing data science solutions for AI or technology-focused products.
• Strong programming skills in languages such as Python, R, or SQL.
• Proficiency in data science tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data science principles, machine learning algorithms, and statistical analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Strong attention to detail and commitment to delivering high-quality work.
• Ability to work independently and as part of a team.

About Commercial Bank of Qatar:

Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar's economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.

By Joining us, you'll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking!

Job Summary:

At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank's data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.

Key Accountabilities

• Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
• Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
• Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
• Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
• Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
• Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns

Qualifications & Experience

Minimum Qualifications:

Bachelor's Degree or an equivalent professional qualification

Minimum Experience:

• Python or R capability
• Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
• Expertise in reports and analysis of complex customer and/or commercial data.
• Specialist skills in research methodologies, consumer behavior, and market research activities.
• Specialist skills with Microsoft Excel.
• Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
• Skills in data extraction, transformation and visual analytics.
• Skills in customer service / customer success / customer experience or engagement
• Excellent written and spoken English.

Knowledge, & Other skills:

•Knowledge of banking products

•Excellent written and spoken English

Why Commercial Bank?

• Best Performing Bank in Qatar in The Banker's prestigious Top 1000 World Banks Rankings 2025.
• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure , connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance , ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion , fostering a culture that values every individual's unique perspective

At Commercial Bank, we don't just offer careers, We shape futures by pioneering digital transformation in Qatar's banking sector, blending digital-first approach to redefine banking through innovative solutions.

Disclaimer:

We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

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 sustainably. 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 include:

• 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:

1. Conduct analysis of structured and semi-structured data sets, including opinion research, social media big data, and secondary-source indices.
2. Review methods and means to provide data visualization and quantitative analysis to the team.
3. Develop automated approaches leveraging AI / ML and NLP to streamline operational assessment data input into the C2IE system.
4. Support research design and modification for analytics and assessment projects.
5. Acquire, process, and integrate data from various sources, including HUMINT, SIGINT, OSINT, and GEOINT.
6. Apply advanced analytical techniques to identify trends and patterns.
7. Develop predictive models to support influence operations and behavioral targeting.
8. Collaborate with OIE planners, analysts, and Data Engineers for effective data utilization.
9. Visualize data insights through dashboards and reports for decision-makers.
10. Evaluate the effectiveness of OIE campaigns using data-driven methods.
11. Stay current on emerging data science techniques and tools relevant to OIE.
12. Provide strategic recommendations to senior leadership.
13. Create data visualizations and perform quantitative analysis to support mission needs.
14. Review statistical data from team members, other agencies, and CCMD assets.
15. Assess reliability and validity of empirical studies for potential use in theater.
16. Contribute to projects evaluating the IE for various CCMDs supported through Leidos Checkmate.

Basic Qualifications:

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or related field
• 8+ years of experience in data science, especially predictive analytics, machine learning, and statistical modeling
• Experience with data visualization tools (Tableau, Power BI, Matplotlib)
• Experience with NLP and text analytics
• Proficiency in Python, R, SQL, and frameworks like Scikit-learn, TensorFlow, PyTorch
• Strong problem-solving and critical-thinking skills
• Knowledge of 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 tools (ArcGIS, QGIS)
• Experience with data manipulation tools (SPSS, STATA, IBM Watson)
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
• Experience with C2IE
• 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

Join us to innovate and solve high-stakes problems with code and creativity.

Original Posting: July 30, 2025

For U.S. Positions: The job is expected to remain open for at least 3 days from the posting date, with an anticipated close date no earlier than 3 days after the posting.

Pay Range: $104,650.00 - $189,175.00

The Leidos pay range is a guideline only and not a guarantee of salary. Factors such as responsibilities, education, experience, skills, internal equity, and market data influence offers.

Data Scientist

Work Location: Qatar

Core Responsibilities:

• Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.
• Perform data preprocessing, feature engineering, and model selection independently.
• Build and maintain automated model pipelines including training, validation, scoring, and monitoring.
• Implement model drift detection, retraining logic, and performance diagnostics.
• Conduct code-based model explainability (e.g. SHAP, LIME), support documentation for governance review.

Expertise Required

• Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM)
• Strong command of SQL and handling large datasets (via warehouse or lake)
• Experience deploying models using MLflow, Airflow, Docker, or similar tools
• Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)
• Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series
• Exposure to deep learning (PyTorch or TensorFlow) for advanced use cases
• Working knowledge of embeddings, vector stores, or text-based models

Git-based versioning and reproducible ML workflow setup

The Data Scientist focuses on developing algorithms, data analysis, and insights to drive business innovation and efficiency. This role involves working with large datasets, developing predictive models, and collaborating with cross-functional teams to deliver data-driven solutions.

1. Develop and implement data science projects, including the design and development of algorithms and models.
2. Collaborate with stakeholders to understand business requirements and translate them into data science solutions.
3. Analyze large datasets to extract insights, identify trends, and support decision-making.
4. Develop and validate predictive models, machine learning algorithms, and statistical analyses.
5. Ensure the accuracy, quality, and relevance of data science outputs.
6. Stay updated with the latest advancements in data science and machine learning, applying them to enhance solutions.
7. Provide support and guidance to other team members as needed.
8. Ensure compliance with data governance, security, and regulatory standards in all data science activities.
9. Prepare and present data science reports and documentation to senior management and stakeholders.
10. Participate in project planning and contribute to the development of project timelines and deliverables.
11. Perform other duties relevant to the job as assigned by the Sr. Data Scientist or senior management.

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• Relevant certifications (e.g., Certified Data Scientist, Google Cloud Professional Data Engineer) are preferred.
• Minimum of 3 years of experience in data science or related fields.
• Experience in developing and implementing data science solutions for AI or technology-focused products.
• Strong programming skills in languages such as Python, R, or SQL.
• Proficiency in data science tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data science principles, machine learning algorithms, and statistical analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Strong attention to detail and commitment to delivering high-quality work.
• Ability to work independently and as part of a team.

About Commercial Bank of Qatar:

Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.

By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking!

Job Summary:

At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank’s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.

Key Accountabilities

• Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
• Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
• Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
• Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
• Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media.

Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.

• Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
• Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns

Qualifications & Experience

Minimum Qualifications:

Bachelor's Degree or an equivalent professional qualification

Minimum Experience:

• Python or R capability
• Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
• Expertise in reports and analysis of complex customer and/or commercial data.
• Specialist skills in research methodologies, consumer behavior, and market research activities.
• Specialist skills with Microsoft Excel.
• Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
• Skills in data extraction, transformation and visual analytics.
• Skills in customer service / customer success / customer experience or engagement
• Excellent written and spoken English.

Knowledge, & Other skills:

•Knowledge of banking products

•Excellent written and spoken English

Why Commercial Bank?

• Best Performing Bank in Qatar in The Banker’s prestigious Top 1000 World Banks Rankings 2025.
• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure , connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance , ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion , fostering a culture that values every individual’s unique perspective

At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.

Disclaimer:

We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

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 sustainably. 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 include:

• 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:

1. Conduct analysis of structured and semi-structured data sets, including opinion research, social media big data, and secondary-source indices.
2. Review methods and means to provide data visualization and quantitative analysis to the team.
3. Develop automated approaches leveraging AI / ML and NLP to streamline operational assessment data input into the C2IE system.
4. Support research design and modification for analytics and assessment projects.
5. Acquire, process, and integrate data from various sources, including HUMINT, SIGINT, OSINT, and GEOINT.
6. Apply advanced analytical techniques to identify trends and patterns.
7. Develop predictive models to support influence operations and behavioral targeting.
8. Collaborate with OIE planners, analysts, and Data Engineers for effective data utilization.
9. Visualize data insights through dashboards and reports for decision-makers.
10. Evaluate the effectiveness of OIE campaigns using data-driven methods.
11. Stay current on emerging data science techniques and tools relevant to OIE.
12. Provide strategic recommendations to senior leadership.
13. Create data visualizations and perform quantitative analysis to support mission needs.
14. Review statistical data from team members, other agencies, and CCMD assets.
15. Assess reliability and validity of empirical studies for potential use in theater.
16. Contribute to projects evaluating the IE for various CCMDs supported through Leidos Checkmate.

Basic Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field
• 8+ years of experience in data science, especially predictive analytics, machine learning, and statistical modeling
• Experience with data visualization tools (Tableau, Power BI, Matplotlib)
• Experience with NLP and text analytics
• Proficiency in Python, R, SQL, and frameworks like Scikit-learn, TensorFlow, PyTorch
• Strong problem-solving and critical-thinking skills
• Knowledge of 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 tools (ArcGIS, QGIS)
• Experience with data manipulation tools (SPSS, STATA, IBM Watson)
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
• Experience with C2IE
• 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

Join us to innovate and solve high-stakes problems with code and creativity.

Original Posting: July 30, 2025

For U.S. Positions: The job is expected to remain open for at least 3 days from the posting date, with an anticipated close date no earlier than 3 days after the posting.

Pay Range: $104,650.00 - $189,175.00

The Leidos pay range is a guideline only and not a guarantee of salary. Factors such as responsibilities, education, experience, skills, internal equity, and market data influence offers.

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.

• 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.

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

Data Scientist

Work Location: Qatar

Core Responsibilities:

• Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.
• Perform data preprocessing, feature engineering, and model selection independently.
• Build and maintain automated model pipelines including training, validation, scoring, and monitoring.
• Implement model drift detection, retraining logic, and performance diagnostics.
• Conduct code-based model explainability (e.g. SHAP, LIME), support documentation for governance review.

Expertise Required

• Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM)
• Strong command of SQL and handling large datasets (via warehouse or lake)
• Experience deploying models using MLflow, Airflow, Docker, or similar tools
• Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)
• Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series
• Exposure to deep learning (PyTorch or TensorFlow) for advanced use cases
• Working knowledge of embeddings, vector stores, or text-based models

Git-based versioning and reproducible ML workflow setup