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assistant/ associate professor - data science and artificial intelligence Jobs in Doha

assistant/ associate professor - data science and artificial intelligence

data scientist

lead operations data & performance analyst Jobs in Doha

lead operations data & performance analyst

senior data scientist

Anotech

<div>
 <p>
  Accountabilities:
 </p>
 <ul>
  <li>
   To participate in the development of data science strategy and tactics to support the company&rsquo;s strategic objectives to become a data driven company.
  </li>
  <li>
   To promote data science &amp; analytics to increase business insights to resolve business problems or support decisions making processes.
  </li>
  <li>
   Develop innovative PoCs and end-to-end data analytics solutions with high value adding in terms of business impact.
  </li>
  <li>
   Contribute and propose ways to maximize the value of geosciences, operations, HSE, CPD and MP, etc. data.
  </li>
  <li>
   To manage relationships with internal and external vendors for data science.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Education:
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Experience:
 </p>
 <ul>
  <li>
   Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies
  </li>
  <li>
   Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).
  </li>
  <li>
   GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs/ solutions using large language models or other generative frameworks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Technical &amp; Soft Skills:
 </p>
 <ul>
  <li>
   Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.
  </li>
  <li>
   Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.
  </li>
  <li>
   Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
  </li>
  <li>
   Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.
  </li>
  <li>
   Visualization Tools: Proficiency in Power BI, or similar visualization platforms.
  </li>
  <li>
   Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.
  </li>
  <li>
   Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
  </li>
  <li>
   Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.
  </li>
  <li>
   Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.
  </li>
  <li>
   Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Language proficiency:
 </p>
 <ul>
  <li>
   Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.
  </li>
 </ul>
</div>


Senior Data Scientist

Protiviti Middle East Member Firm

<div>
 <p>
  Job Description: Data Scientist - Advanced Analytics &amp; Network Insights
 </p>
 <p>
  Position Requirements:
 </p>
 <ul>
  <li>
   Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
  </li>
  <li>
   Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging &amp; Boosting Models).
  </li>
  <li>
   Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
  </li>
  <li>
   Expertise in Python, PySpark, R, and libraries such as Scikit-learn, NumPy, TensorFlow.
  </li>
  <li>
   5+ years of experience in deploying scalable machine learning systems, with 4+ years in NLP or text analytics development.
  </li>
  <li>
   Proficient in SQL, Hadoop, Spark, and data storage frameworks.
  </li>
  <li>
   Skilled in designing and deploying auto big data pipelines for production environments.
  </li>
  <li>
   Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
  </li>
  <li>
   Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
  </li>
  <li>
   Experience with agile methodologies, data-driven development, and reliable experimentation.
  </li>
  <li>
   Knowledge of machine learning publications or contributions to open-source projects is a plus.
  </li>
 </ul>
 <p>
 </p>
 <p>
  Role &amp; Responsibilities:
 </p>
 <ul>
  <li>
   Lead the development and optimization of machine learning models, including recommendation and personalization systems.
  </li>
  <li>
   Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
  </li>
  <li>
   Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
  </li>
  <li>
   Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
  </li>
  <li>
   Process and analyze large datasets using big data tools like Spark and Hive.
  </li>
  <li>
   Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
  </li>
  <li>
   Extend existing data with third-party sources as needed for enriched analysis.
  </li>
  <li>
   Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.
  </li>
 </ul>
</div>


Data Scientist

Swan Global WLL

<p>Hiring <b>Machine Learning Engineer/Sr. Data Scientist</b></p><p>Contract type:- Long term</p><p>Salary:- TBD</p><p>Duty hrs:- 8 hrs/ 5 days</p><p><b>Skills - Required:</b></p><p>&#9679; Knowledge of statistical modelling and popular machine learning models.</p><p>&#9679; Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.</p><p>&#9679; Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.</p><p>&#9679; Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.</p><p>&#9679; NLP: Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above-mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis</p><p>&#9679; Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.</p><p>&#9679; Feature engineering, Feature selection/Feature importance, Dimensionality</p><p>&#9679; Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking</p><p>Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.</p><p>&#9679; Critical eye for the quality of data and strong desire to get it right.</p><p>&#9679; A pleasantly forceful personality and charismatic communication style.</p><p>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.</p><p>&#9679; Experience in GCP based ML solutions and services like Contact Center 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.</p><p>Job Type: Contract<br/>Contract length: 6 months</p><p>Application Question(s):</p><ul><li>Are you under freelance visa?</li></ul><p>Language:</p><ul><li>Arabic (Required)</li></ul>

Machine Learning Engineer/ Sr. Data Scientist

Commercial Bank

<div>
 <p>
  <strong>
   <em>
    About Commercial Bank of Qatar:
   </em>
  </strong>
 </p>
 <p>
  Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;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.
 </p>
 <p>
  By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 </p>
 <p>
  <em>
   Join us in shaping the future of banking!
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Job Summary:
   </em>
  </strong>
 </p>
 <p>
  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&rsquo;s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities
  </strong>
 </p>
 <ul>
  <li>
   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.
  </li>
  <li>
   Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
  </li>
  <li>
   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.
  </li>
  <li>
   Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
  </li>
  <li>
   Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
  </li>
  <li>
   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..
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
 </p>
 <ul>
  <li>
   Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
  </li>
  <li>
   Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Qualifications &amp; Experience
   </em>
  </strong>
 </p>
 <p>
  <em>
   <u>
    Minimum Qualifications:
   </u>
  </em>
 </p>
 <p>
  Bachelor's Degree or an equivalent professional qualification
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   <u>
    Minimum Experience:
   </u>
  </em>
 </p>
 <ul>
  <li>
   Python or R capability
  </li>
  <li>
   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
  </li>
  <li>
   Expertise in reports and analysis of complex customer and/or commercial data.
  </li>
  <li>
   Specialist skills in research methodologies, consumer behavior, and market research activities.
  </li>
  <li>
   Specialist skills with Microsoft Excel.
  </li>
  <li>
   Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
  </li>
  <li>
   Skills in data extraction, transformation and visual analytics.
  </li>
  <li>
   Skills in customer service / customer success / customer experience or engagement
  </li>
  <li>
   Excellent written and spoken English.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge, &amp; Other skills:
  </strong>
 </p>
 <p>
  &bull;Knowledge of banking products
 </p>
 <p>
  &bull;Excellent written and spoken English
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Why Commercial Bank?
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Best Performing Bank in Qatar
   </strong>
   in The Banker&rsquo;s prestigious Top 1000
   <strong>
    World Banks Rankings 2025.
   </strong>
  </li>
  <li>
   <strong>
    Best Digital Bank in the Middle East 2024
   </strong>
   by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
  </li>
  <li>
   An
   <strong>
    Innovation-Driven, Digital-First
   </strong>
   Environment where employees work with the latest tools and technologies to redefine banking
  </li>
  <li>
   Opportunities for
   <strong>
    Global Partnerships &amp; International Exposure
   </strong>
   , connecting employees with global networks and perspectives.
  </li>
  <li>
   A focus on Employee
   <strong>
    Well-being &amp; Work-Life Balance
   </strong>
   , ensuring a healthy and supportive environment for all team members
  </li>
  <li>
   <strong>
    Competitive Compensation &amp; Benefits
   </strong>
   that ensure our employees are rewarded for their dedication and performance
  </li>
  <li>
   A strong Commitment to
   <strong>
    Diversity, Equity &amp; Inclusion
   </strong>
   , fostering a culture that values every individual&rsquo;s unique perspective
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
  <strong>
   digital transformation
  </strong>
  in Qatar&rsquo;s banking sector,
  <strong>
   blending digital-first
  </strong>
  approach to redefine banking through
  <strong>
   innovative solutions.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
  </em>
 </p>
 <p>
  <strong>
   <em>
    Disclaimer:
   </em>
  </strong>
 </p>
 <p>
  <em>
   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.
  </em>
 </p>
</div>


Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Senior Manager &ndash; Data &amp; AI
</div></div><div><div>Ref #
</div><div>224521
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 04-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role:</b></p>
<p>Develop a comprehensive 5-year Data and Al strategy for MATAR. Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth for operational and executive management of MATAR. Lead cross-functional teams to drive development and implementation of Data &amp; Al based solutions to drive business growth, improve customer experiences, and optimize operational efficiency. Define and manage the budgets and the IT work programme for requirements analysis, design specifications, development, procurement, implementation and maintenance for assigned systems.</p>
<p><b>Key responsibilities</b></p>
<ul><li>Define, propose and seek concurrence from senior MATAR stakeholders to establish an appropriate and cost-effective Data &amp; Al strategy (over a 3&ndash;5-year timeframe) to support the MATAR business strategy and growth plans.</li>
<li>Develop a 5 year road map and propose adequate 3 year rolling budgets by both business and IT to fulfil the agreed strategy.</li>
<li>Ensure that the Business Intelligence/Data Analytics &amp; Al platform complies with approved Data &amp; Al strategy and governance model.</li>
<li>Collaborate with senior stakeholders to drive innovation in Data &amp; Al technologies to drive business growth, efficiency, improved customer experiences and data-driven decision making across the organization.</li>
<li>Manage all outsourced / hosted IT services for assigned business areas, ensuring that service providers meet agreed service levels, the solutions are periodically benchmarked against competitive solutions in terms of functionality, technology, and cost, and future application strategy is aligned to strategic objectives of MATAR.</li>
<li>Work cross functionally with IT Security and Data Protection teams to embed data governance processes and monitoring to ensure data quality, privacy, and security.</li>
<li>Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth.</li>
<li>Accountable for the implementation of data quality assurance processes that ensures data is accurate, complete, and reliable.</li>
<li>Ensure that the organization's data architecture and infrastructure are scalable, flexible, and secure.</li>
<li>Collaborate with cross-functional teams to support identification and the development of data &amp; Al-based solutions and to integrate them into existing systems and processes.</li>
<li>Plan and oversee the implementation of monitoring and reporting on the performance of data &amp; Al solutions, making recommendations for improvement as necessary.</li>
<li>Enable and support the business' management to develop and seek approval for business cases/CMC by providing reliable and optimal cost estimates and advising on technology and implementation risks.</li>
<li>Accountable to establish a consolidated work program portfolio and plan ensuring key attributes such as business priority are maintained, based on inputs from solutions strategy, approved budgets, and high-level planning output from individual projects.</li>
<li>Engage and influence Executive and Senior management to ensure portfolio delivery aligns with agreed business objectives.</li>
<li>Own and ensure delivery of all agreed solutions, projects, and services in a timely and cost-effective manner.</li>
<li>Ensure that a consolidated work program portfolio and plan is established and maintained along with key attributes such as business priority, based on inputs from solutions strategy, approved budgets, and high- level planning output from individual projects.</li>
<li>Establish and facilitate optimal project governance and decision-making structures, such as Steering Committee and Working Groups, to ensure smooth, efficient, and risk-managed program delivery.</li>
<li>Develop change management strategies and approaches to ensure transformational programs can be delivered effectively and business adoption is achieved.</li>
<li>Ensure compliance with MATAR IT Service Management (ISO 20000 framework) and Information Security Management System (ISO 27001 framework) and support/achieve its applicable/assigned Key Performance Indicators (KPls).</li>
<li>Enable smooth business operations by ensuring high availability of the systems through appropriate design and architecture; and comply with IT availability and business continuity management processes and standards.</li>
<li>Accountable for management of assigned portfolio and reporting the status at regular intervals to ensure alignment with strategic objectives of MATAR</li>
<li>Ensure issues related to projects/programs/change initiatives being managed are identified and necessary corrective actions are monitored until closure with minimum impact to business.</li>
<li>Accountable for the collection and reporting on portfolio KPls often through the deployment of business management processes and systems.</li>
<li>Accountable for management and execution of contracts for assigned portfolio of IT systems and hosted services.</li>
<li>Lead the development of annual and rolling budgets related to Data &amp; Al.</li>
<li>Perform other department duties related to his/her position as directed by the Head of the Department.</li>
<li>Ensure that all projects and project teams comply with IT project governance framework and standards from process, deliverables and reporting perspective.</li>
<li>To build and lead a skilled and talented team for providing Data &amp; Al capabilities to MATAR in line with corporate objectives and values.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you:</b></p>
<ul><li>Bachelor's Degree or Equivalent with Minimum 10 years of job- related experience.</li>
<li>Experience in data management, performing data analytics &amp; developing Al applications in a fast-paced complex environment such as financial services, retail or aviation.</li>
<li>Solid understanding of enterprise data analytics, data science &amp; Al.</li>
<li>Good understanding of Data Governance best practices.</li>
<li>Strong track record in innovation using emerging technologies such as Digital Twin, loT, Computer Vison, Machine Learning and Al.</li>
<li>Experience with deep learning frameworks such as Keras and Tensorflow.</li>
<li>Good understanding of Software Development Life Cycle and Software Quality Assurance processes.</li>
<li>Systems Implementation or Development leadership.</li>
<li>Project management certification or demonstrable experience.</li>
<li>Relationship Management.</li><br>
</ul></div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=224521</div></div></div></div></div></div></div></div>

Senior Manager – Data & AI

Arab Solutions

<div>
 <strong>
  Job Purpose: We are seeking a senior-level BI consultant with a strong background in Databricks, Power BI and SAP Analytics Cloud &amp; Business Objects experience. The ideal candidate has a minimum of 10 years&rsquo; experience in business intelligence projects, hands-on with backend and frontend development, and capable of driving full project cycles independently &mdash; from requirement gathering to dashboard delivery and optimization.
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Power BI and Azure Databricks Integration:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience developing and publishing interactive Power BI dashboards and paginated reports.
  </li>
  <li>
   Ability to integrate Power BI with Azure Databricks using DirectQuery, Spark connectors, and DAX optimization strategies.
  </li>
  <li>
   Strong grasp of data modeling best practices in Power BI, including star/snowflake schemas, measures, relationships, and calculated columns.
  </li>
  <li>
   Comfortable working with large datasets and implementing incremental refresh, row-level security, and Power BI workspace management.
  </li>
  <li>
   Capable of building end-to-end reporting solutions using Databricks SQL Warehouses and/or Delta Lake tables as data sources.
  </li>
  <li>
   Collaborate with Data Engineers to define optimized queries and Delta table structures in Databricks for analytics.
  </li>
  <li>
   Familiarity with Azure ecosystem (Azure Data Factory, Azure SQL, Lakehouse architecture) is a plus.
  </li>
  <li>
   Soft Skills &amp; Project Delivery
  </li>
  <li>
   Capable of functioning independently and supporting other team members when needed.
  </li>
  <li>
   Proactive, analytical, solution-oriented mindset with strong business acumen.
  </li>
  <li>
   Skilled in requirement analysis, design documentation, technical specification writing, and stakeholder communication.
  </li>
  <li>
   Ability to explain technical concepts clearly to business users.
  </li>
  <li>
   Demonstrated ability to manage complex dashboards and reporting initiatives from inception to delivery.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  SAP analytics cloud &amp; BusinessObjects Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expertise in SAC story creation, analytic modeling, and data integration with BW and HANA systems.
  </li>
  <li>
   Senior-level consultant experience with SAP BO Suite: SAP Analytics Cloud (SAC), Information Design Tool (IDT), Web Intelligence, and SAP Lumira Designer.
  </li>
  <li>
   Experience developing and managing large BO implementations sourcing data from ECC, S/4 HANA, BW, Oracle, etc.
  </li>
  <li>
   SAP Data Services: data modeling and schema analysis.
  </li>
  <li>
   SQL scripting skills for data prep, normalization, and report logic.
  </li>
  <li>
   Proven ability to build, maintain, and enhance Lumira Designer, including custom CSS modifications.
  </li>
  <li>
   Strong experience in SAP BW4/HANA connectivity and tooling from the BO side.
  </li>
  <li>
   Comfortable creating Universes, and end-user reports &amp; dashboards.
  </li>
  <li>
   Familiarity with JavaScript and front-end customization/UI5 integration.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Good To Have Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to Native HANA modeling and security
  </li>
  <li>
   Experience with machine learning concepts and tools
  </li>
  <li>
   JavaScript, Web programming, UI5/Fiori principles
  </li>
  <li>
   Familiarity with other dashboarding/reporting tools (e.g., Tableau, Qlik, Looker)
  </li>
  <li>
   Knowledge of Git/version control in BI development
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Educational Qualification
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in
 <strong>
  computer science
 </strong>
 ,
 <strong>
  Information Systems
 </strong>
 , or a related technical discipline.
 <br/>
 <br/>
 <strong>
  Required Professional Qualifications/Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Please refer to key responsibilities
   <br/>
   <br/>
  </li>
 </ul>
 Skills: sap analytics cloud,azure,business objects,hana,fiori,machine learning,ui5,azure data factory,dax,data modeling,javascript,databricks,sql,sap,power bi,git,azure sql
</div>


Sr. BI Consultant – Databricks & Power BI

<div><div><div><div><div><div><div><div>Job title
</div><div>Senior Data Science Analyst - Qatari Nationals only
</div></div><div><div>Ref #
</div><div>212062
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 08-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role (Qatari Nationals Only)</b></p>
<p>As a Senior Data Science Analyst, you will be responsible to lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. Balance numerous facets of data including, for example, technical distinctions across sets of data, maths and statics, software such as machine learning and connect them to business context and value by developing strategies and processes.</p>
<p>Other key responsibilities are:</p>
<ul><li> Plans strategies to operationalize revenue managements goals of applying more data, science and technology to deliver results to meet revenue targets including RASK.</li></ul>
<ul><li> Leads a team of analysts to deliver reliable, on time, revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute solid analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track a list of data sources available within the company and understand interrelations between different datasets to drive value.</li></ul>
<ul><li> Translates sophisticated data science concepts in an understandable and meaningful manner to help the business adopt and transform.</li></ul>
<ul><li> Works with traditional revenue management data sources including for example pricing, inventory and market share, bringing skills in computer science, artificial intelligence statistics and machine learning to deliver solutions to deliver revenue.</li></ul>
<ul><li> Interprets the requirements of Revenue Management and other stakeholders, analysts and specialists to develop efficient and reliable solutions that to improve the quality of machine and analyst decisions to delivery revenue</li></ul>
<ul><li> Collaborate with IT stakeholders, data analysts lead IT investigations from within the Organisation to create synergies and, where possible and applicable, adopt common tools and technologies to analyse digital value</li></ul>
<ul><li> Compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.</li></ul>
<ul><li> Provide comprehensive reports with recommendation for management review and decision making. Working with IT and the Business, assesses and report on the benefits of data science tools, solutions and results to contribute to future investment or business case decisions.</li></ul>
<ul><li> Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths in order to propose solutions and strategies to new data processing challenges. Evaluate and problem solve through data analysis by working closely with colleagues to identify data related problems and mend where necessary.</li></ul>
<ul><li> Identify challenges and opportunities gained from the analysis and conclude cases by proposing business improvement solutions. Use and apply modern development tools and write code to deliver data enabled solutions that drive personalization.</li></ul>
<ul><li> Seeks improvements in data storage and processing and contributes to implementation plans for data lake and cloud storage solutions.</li></ul>
<ul><li> Understands Data Science as an evolving field, working with departmental leadership to continuously seek out new solutions to deliver a competitive advantage.</li></ul>
<ul><li> Develops constructive and collaborative relationships with other areas of Commercial and IT to supports the vision to deliver 5 star connections with our customers every time</li></ul>
<ul><li> Work closely with Senior Data Science Analysts to build solutions.</li></ul>
<ul><li> As a problem solver, works with other RM team members to understand business challenges, applying analytical curiosity to go beyond immediate requirements to find undiscovered insights that, through the use of data will deliver on the commercial and revenue management vision.</li></ul>
<ul><li> Guide the RM organization towards to ultimate goal of increased revenue by supporting the managers with convincing evidence.</li></ul>
<p><b>Be part of an extraordinary story</b></p>
<p>Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p>
<p>Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p>
<p>Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Qualifications</b></p>
<p><b>About You</b></p>
<p>We are looking for a passionate and experienced professional to join the Revenue Management Team.</p>
<ul><li> Bachelor&rsquo;s degree or Master&rsquo;s degree in related disciplines such as Mathematics and Statistics, Computer Science or Engineering is essential</li></ul>
<ul><li> 6+ years of job-related experience</li></ul>
<ul><li> Expert understanding of statistics, operations research, forecasting and optimization methods</li></ul>
<ul><li> Very good understanding of the airline business process. This includes Network Planning and Scheduling, e-commerce, Marketing and Sales</li></ul>
<ul><li> Excellent communication and negotiation skills. Command of English language</li></ul>
<ul><li> Expert understanding of IT related topics.</li></ul>
<p><b>About Qatar Airways Group</b></p>
<p>Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.</p>
<p>So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p>
<p><b>How to Apply</b></p>
<p>If you are interested to submit your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=212062</div></div></div></div></div></div></div></div>

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