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business intelligence developer / analyst Jobs in Doha

business intelligence developer / analyst

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lead ds (data scientist) bangkok based, relocation provided Jobs in Doha

lead ds (data scientist) bangkok based, relocation provided

data scientist

Quantiphi

<div>
 
 
 Designation:
 
 Senior Data Scientist
 
 
 
 Experience level:
 
 8 to 15 years
 
 
 
 
 
 
 Skills - Required:
 
 
 <ul>
 <li>
 Knowledge of statistical modelling and popular machine learning models.
 </li>
 <li>
 Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
 </li>
 <li>
 Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
 </li>
 <li>
 Computer Vision: Image pre-processing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
 </li>
 <li>
 NLP: Vector Space modelling in NLP, LSTMS, Sequence modelling, Attention modelling, BERT, Transformers. Using the abovementioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
 </li>
 <li>
 Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
 </li>
 <li>
 Feature engineering, Feature selection/Feature importance, Dimensionality.
 </li>
 <li>
 Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking.
 </li>
 <li>
 Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
 </li>
 <li>
 Critical eye for the quality of data and strong desire to get it right.
 </li>
 <li>
 A pleasantly forceful personality and charismatic communication style.
 </li>
 </ul>
 
 
 
 
 
 Skills - Nice to Have:
 
 
 <ul>
 <li>
 Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
 </li>
 <li>
 Experience in GCP based ML solutions and services like Contact Centre AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.
 </li>
 </ul>
 
 
 
 
 
 Your Job will require:
 
 
 <ul>
 <li>
 Ability to multitask and work on multiple engagements related to different domains.
 </li>
 <li>
 Be able to pick up newer technologies in a short span of time
 </li>
 <li>
 Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
 </li>
 <li>
 Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
 </li>
 <li>
 Follow Agile standards and methodologies in all phases of the project.
 </li>
 <li>
 Ensure excellence in delivery to customers
 </li>
 <li>
 Self-driven individuals with a passion for research and development and the zest for solving what matters.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 <ul>
 <li>
 The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain.
 </li>
 <li>
 The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
 </li>
 <li>
 The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
 </li>
 <li>
 An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours
 </li>
 </ul>
</div>

Senior Data Scientist

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

Al-Attiya Motors And Trading Company - KIA Motors

About the Role:We are seeking a detail-oriented and analytical Data Analyst to join our team in the automotive spare parts sector. This role is key to driving data-informed decisions that improve inventory management, pricing strategies, and operational efficiency across our spare parts business. The ideal candidate combines strong technical skills with a practical understanding of spare parts operations.Key Responsibilities:Collect, clean, and analyze spare parts data (sales, inventory, procurement, etc.) to identify trends, inefficiencies, and opportunities for improvement.Build and maintain interactive dashboards and performance reports using tools like Power BI or Tableau.Collaborate with sales, service, and procurement teams to optimize stock levels, enhance parts availability, and reduce excess inventory.Conduct competitor and market analysis to support pricing decisions and product performance evaluations.Provide actionable insights and recommendations to improve forecasting, supply chain efficiency, and cost control.Support system improvements and data accuracy across ERP platforms and parts catalog systems.Requirements:Bachelor&rsquo;s degree in Data Analytics, Statistics, Engineering, Business, or a related field.Proven experience as a Data Analyst, preferably in the automotive or spare parts industry.Proficient in Excel and SQL, with strong command of data visualization tools (e.g., Power BI, Tableau).Experience with ERP systems and understanding of spare parts catalogues is a plus.Strong analytical thinking, problem-solving, and communication skills.Ability to work independently and effectively in cross-functional teams.Job Type: Full-time

Data Analyst

Anotech

<div>
 
 We are looking for a
 
 Data Analyst
 
 to join our
 
 Reservoir and Geosciences (RGS)
 
 team. The ideal candidate will play a key role in supporting data management, analytics, and integration across
 
 Geology, Geophysics, Petrophysics, and Reservoir
 
 domains.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Manage and support Geoscience &amp; Reservoir Management databases and tools
 
 
 Act as focal point and data steward for Petrophysics data (logs, core data, fluids, pressures, etc.)
 
 
 Support data visualization, dashboards, and analytics for RGS teams
 
 
 Ensure data quality, integration, and standardization across corporate and project databases
 
 
 Identify and implement process improvements to optimize data workflows
 
 
 
 
 
 
 Qualifications:
 
 
 
 MSc/BSc in Reservoir or Petroleum Engineering (or related field)
 
 
 Minimum 3 years&rsquo; experience in RE data management and/or data analysis
 
 
 Skilled in scripting and data handling (Python, C++, Visual Basic, SQL)
 
 
 Strong communication, initiative, and decision-making skills
 
 
 Fluent in English
 
</div>

Commercial Bank

<div>
 
 About Commercial Bank
 
 
 
 Commercial Bank , Founded in 1975 and headquartered in Doha , plays a vital role in Qatar&rsquo;s economic development through offering a range of personal, business, government, international and investment services. At Commercial Bank of Qatar, we believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us , you&rsquo;ll be part of 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
 
 
 
 Data Engineer is one of the key roles in a major initiative of Enterprise Data Fabric development which is a part of CBQ&rsquo;s Data Strategy and overall Digital Transformation. As a part of Data Governance and Engineering department Data Engineer will be implementing various data management systems such as Data Lake, RDM, Data Streaming, Metadata management which will be a part of the Enterprise Data Fabric. Data Engineer will also work closely with number of IT, PMO, Data and operations teams to understand their needs and ensure that the Enterprise Data Fabric contributes to overall data quality, availability, democratization and culture.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Participate in Data Management systems implementation projects: Data Lakehouse, Data Streaming, Metadata management, Reference Data Management
 </li>
 <li>
 Develop data pipelines to bring new data to Enterprise Data Fabric
 </li>
 <li>
 Ensure data pipelines are efficient, scalable, and maintainable
 </li>
 <li>
 Comply with data engineering and development best practices (CI/CD, Code Management, Testing, Knowledge Management, Documentation etc.)
 </li>
 <li>
 Ensure that all Data Policies are met within Enterprise Data Fabric.
 </li>
 <li>
 Ensure that implemented systems correspond with target Data Architecture
 </li>
 <li>
 Support Data teams (DQ, Data Governance, BI, Data Science) in achieving their goals
 </li>
 <li>
 Maintain agile delivery process based on one of frameworks: Kanban, Scrum
 </li>
 <li>
 Ensure that SLAs with data consumers and data sources are maintained
 </li>
 <li>
 Implement all necessary monitoring, alerting
 </li>
 <li>
 Facilitating collaboration between IT and wider Data team and supporting data science, BI and Data Excellence teams to ensure seamless integration and effective communication.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Python (Advanced level)
 </li>
 <li>
 Airflow or Apache NiFi
 </li>
 <li>
 K8s (OpenShift), Docker
 </li>
 <li>
 RDBMS: MS SQL Server, PostgreSQL, Oracle
 </li>
 <li>
 ETL (at least one of): SSIS, Informatica PowerCenter, IBM Datastage, Pentaho
 </li>
 <li>
 SQL &ndash; Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries)
 </li>
 <li>
 Git (GitHub/GitLab)
 </li>
 <li>
 Kafka is a plus
 </li>
 <li>
 Object Storage (S3, GCS, ABS) is a plus
 </li>
 <li>
 Spark is a plus
 </li>
 <li>
 Experience with dbt is a plus
 </li>
 <li>
 Familiar with Data Warehousing (Star/Snowflake schemas) And Data Lake
 </li>
 <li>
 Agile methodologies (Kanban, Scrum)
 </li>
 <li>
 Strong problem-solving skills
 
 
 </li>
 </ul>
 
 
 Why Commercial Bank?
 
 
 
 
 <ul>
 <li>
 Best Performing Bank in Qatar in The Banker&rsquo;s prestigious Top 1000 World Banks Rankings 2025.
 </li>
 <li>
 Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for Global Partnerships &amp; International Exposure, connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee Well-being &amp; Work-Life Balance, ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 Competitive Compensation &amp; Benefits that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to Diversity, Equity &amp; Inclusion, fostering a culture that values every individual&rsquo;s unique perspective
 
 
 </li>
 </ul>
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering digital transformation in Qatar&rsquo;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.
</div>

Data Engineer

Explore 557+ Data scientist in Doha this November. Find roles across top companies and apply now to boost your career.

557 data scientist jobs IN Doha

Senior Data Scientist

Senior Data Scientist (Bangkok based, relocation provided)

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Lead DS (Data Scientist) Bangkok based, Relocation provided

Data Analyst

Data Analyst

Data Engineer