180 Team Data 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.

Data Analyst job vacancy in Doha Qatar


Data Analyst - Doha, Qatar

We are looking for an experienced Data Analyst to join our team in Doha, Qatar. The successful candidate will be responsible for analyzing large datasets and creating meaningful reports that can be used to inform business decisions. This role offers a competitive salary of 1800.

In this role, you will be responsible for:
• Collecting, sorting and interpreting data from various sources
• Analyzing large data sets and identifying patterns and trends
• Developing and maintaining databases for recurring reports
• Creating meaningful reports based on the analysis of the data
• Identifying problems or opportunities within the data collected
• Working closely with stakeholders to ensure accurate interpretation of results
• Suggesting changes or improvements to existing processes and procedures based on findings.

The ideal candidate must have:
• Bachelor’s Degree in Computer Science, Mathematics, Statistics or related field
• At least 3 years of experience as a Data Analyst in a professional environment
• Good knowledge of Microsoft Office Suite (Excel, Access) as well as SQL databases
• Excellent analytical skills with strong knowledge in data analysis techniques and statistical methods
• Ability to think logically and evaluate different scenarios with attention to detail

We welcome applications from international candidates who are ready to move to Doha. If you feel you are qualified for this position, please send your CV along with a cover letter explaining why you are the best fit for this role.

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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.

• 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.

Experience : 3-6yrs

Job description :

Must have skills

3 to 6 years

Data Science SQL, Excel,

Big Query - mandate 3+ years

Python/ML, Hadoop, Spark - 2+ years

Requirements

• 3+ years prior experience as a data analyst

• Detail oriented, structural thinking and analytical mindset.

• Proven analytic skills, including data analysis and data validation.

• Technical writing experience in relevant areas, including queries, reports, and presentations.

• Strong SQL and Excel skills with the ability to learn other analytic tools

• Good communication skills (being precise and clear)

• Good to have prior knowledge of python and ML algorithms

Data Analyst

Job Summary

We’re looking for Data Analyst to support our team in QATAR .This role offers the opportunity to work on meaningful projects, collaborate with talented colleagues, and contribute to the success of a growing company. If you’re someone who takes initiative, values continuous learning, and thrives in a collaborative setting, we’d love to hear from you.

Role Description

Data Analyst

Responsibilities:

• Query, clean, and prepare datasets to support predictive model development.
• Perform data profiling, outlier analysis, missing value treatment, and variable selection.
• Generate statistical summaries, histograms, distributions, and correlations to support model assumptions.
• Assist in feature engineering with code (Python, SQL) based pipelines.
• Develop internal data validation and sanity checks to support model input/output reliability.

Expertise Required

• Advanced SQL and scripting for large-scale data extraction and transformation
• Strong in Python for data analysis (Pandas, matplotlib, seaborn)
• Experience using Jupyter notebooks, Git, and shared model/analytics repos
• Comfort working with transactional, behavioral, and log-based data
• Self-directed and technical; works off specifications from data science lead or product owner
• No need to present to business users or interpret commercial outcomes
• Focus on clean, efficient code, reproducibility, and high data integrity

Please send the update CV along with the following information to

If you are not interested, please refer to your friends.

Full Name:

Current Location:

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Relevant years of experience:

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About CLPS RiDiK

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

Thanks & Regards,

Rituparna Das

IT Recruiter

CLPS Inc.

| India HP/Whatsapp: +91

| India Office: + 65 68178695

Databorn is a leading consulting firm that specialises in machine learning, marketing technology, and data management. Our team of over 350+ professionals worldwide is dedicated to delivering best-in-class solutions to large corporations in the financial, telco, oil & gas and retail industries. We leverage advanced analytics and big data to supercharge our clients' digital transformation and fuel their growth.

With offices in the UAE, KSA Databorn is a trusted partner for dozens of clients across the globe. Our expertise and experience enable us to implement solutions that drive business success and deliver measurable results. Whether you need help with data management, marketing technology, or machine learning, Databorn has the knowledge and skills to help you achieve your goals.

Our clients are major companies in the business and government sectors (main projects include fintech, retail, manufacturing, FMCG).

Benefits You’ll Love

• Dedicated mentor
• Databorn and Partner vendor's training and certification opportunities
• Annual performance bonuses
• Annual performance review process
• Projects with the latest technologies and methodologies

We are seeking a skilled Data Scientist for our on-site projects in Qatar with a strong background in statistics and machine learning to solve complex business problems. The ideal candidate will work closely with stakeholders to translate business challenges into data-driven solutions, develop and deploy predictive models, and ensure successful project delivery and customer satisfaction.

Please note: This is a full-time, on-site position based in Qatar within the Fintech business area.
Being physically present in the office in Qatar is mandatory.

We offer relocation assistance (preferable option) or extended business trips totaling no less than 9 months per calendar year .

If you are open to considering this opportunity, we would be happy to discuss it further!

What You’ll Do And What You’ll Need

Your Responsibilities

• Business Problem Solving

• Business Problem Solving

• Model Development Deployment

• Project Delivery Documentation

• Customer Relationship Management

• Support Sales Project Growth

Experience & Skills We Are Looking For

Required

• Big Data Ecosystem: Hadoop
• Data Analysis: MS Excel for reporting and exploratory analysis
• Readiness to expanded business trips or Relocation to Qatar .
• Proficiency in English.
• Experience working with banking data, transactional data, or customer analytics
• Proficiency in Arabic

Leave your resume, and we will contact you

The Data Engineer handles thedesign, development, and maintenance of data pipelines, ETL processes, anddatabase management to support AI and data science initiatives. This roleinvolves ensuring data quality, scalability, and performance across all dataengineering activities.

• Design, develop, and maintain data pipelines, ETL processes,and database systems to support AI and data science initiatives.
• Collaborate with data scientists, AI/ML engineers, and otherstakeholders to understand data requirements and ensure data availability andquality.
• Implement data governance, security, and regulatorystandards in all data engineering activities.
• Optimize data pipelines and processes for scalability,performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of datasystems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in dataengineering technologies and best practices.
• Provide support and guidance to other team members asneeded.
• Prepare and present data engineering reports anddocumentation to senior management and stakeholders.
• Participate in project planning and contribute to thedevelopment of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theSr. Data Engineer or senior management.
  

• Bachelor’s degree in Data Engineering, Computer Science, ora related field
• Relevant certifications (e.g., Google Cloud ProfessionalData Engineer, AWS Certified Big Data – Specialty) are preferred
• Minimum of 3 years of experience in data engineering orrelated fields
• Experience in designing and implementing data pipelines, ETLprocesses, and database systems for AI or technology-focused products
• Strong programming skills in languages such as Python, Java,or SQL
• Proficiency in data engineering tools and frameworks (e.g.,Apache Spark, Kafka)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Attention to detail and commitment to quality
• In-depth understanding of data engineering principles, ETLprocesses, and database management
• Familiarity with cloud platforms (e.g., AWS, Azure, GoogleCloud) and their data services
• Knowledge of data governance, security, and regulatorystandards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to deliveringhigh-quality work
• Ability to work independently and as part of a team
• Programming languages (e.g., Python, Java, SQL)
• Data engineering tools and frameworks (e.g., Apache Spark,Kafka)
• Data management systems (e.g., SQL, NoSQL databases)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)
  

Join to apply for the Data Specialist role at Glow Beauty on Demand

Join to apply for the Data Specialist role at Glow Beauty on Demand

The Role

We are seeking a detail-oriented and analytical Data Specialist. The successful candidate will be responsible for managing, analyzing, and interpreting healthcare data to support operational and clinical decision-making, ensuring data accuracy and integrity to enhance patient outcomes and organizational efficiency. Responsibilities:

• Provide information through the collation / extraction and analysis of complex health care data using proven analytical techniques.
• Manages data preparation and workflow processes across internal and external teams.
• Assists in compiling and summarizing data in tables, charts, reports or other formats for oral and presentations.
• Study and highlight the implications of trends in HMC activity.
• Assist in developing processes and guidelines to ensure accuracy and quality review of all analytics, reports dashboards etc. provided to the management
• Seek opportunities for the provision of proactive advice and support.
• Assist in specifying necessary data elements within digital information systems.
• Perform regular data integrity and quality audits to ensure data authenticity and identify data discrepancies and recommending improvements.
• Perform critical data analysis, conceptual and logical data modelling to ensure the system is properly recording specific metrics and information and translate into reports and dashboards.
• Develop flowcharts, Standard Operating Procedures (SOPS )and guidelines related to data management.
• Effectively engage with and communicate the results to key stakeholders through well structured, cohesive reports and / or presentations.
• Design and articulate ways to improve routine computational processes different approaches, for decision(1)making purposes.
• Perform other duties as assigned.
  
  

• Bachelor’s degree in Business, Statistics, Information Technology (IT) or Engineering.
• 6 years’ experience in data management out of which 3 years in healthcare related field.
• Highly appreciated knowledge in compensation and GRP “Global Remuneration Professional
• Excellent communication skills to effectively collaborate across multidisciplinary teams.
• Detail-oriented with strong organizational and problem-solving abilities.
• Ability to work independently and handle multiple projects in a fast-paced environment.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Home Health Care Services

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