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

assistant/ associate professor - data science and artificial intelligence

behavioral scientist

business analyst

senior manager – data & ai Jobs in Doha

senior manager – data & ai

big data platform developer

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

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>


HJH Holding

<p><b>Urgent Requirement: Data Scientist/Analyst</b></p><p>Requirements</p><p>Experience: 4+ years in data science, analytics, or machine learning roles within fintech, banking, payments, or e-commerce. Experience in BNPL or consumer lending is a strong plus.</p><p>Start-Up Mindset: Comfortable operating in a fast-paced, evolving environment with shifting priorities and the need for rapid experimentation.</p><p>Skills:</p><p>&middot; Proficiency in Python, R, or similar programming languages for data analysis and modeling.</p><p>&middot; Strong SQL skills and experience with data warehousing (e.g., BigQuery, Snowflake, Redshift).Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</p><p>&middot; Experience with BI tools (e.g., Power BI, Tableau, Looker) for visualization.Strong understanding of statistical analysis, experimental design, and hypothesis testing.</p><p>&middot; Ability to clearly communicate complex analyses to non-technical stakeholders.Industry</p><p>&middot; Knowledge: Understanding of GCC fintech regulations, QCB compliance requirements, and BNPL-specific risk modeling considerations.Tech-Savvy:</p><p>&middot; Understanding of databases, debugging tools, and software development processes.</p><p>Communication: Excellent written and verbal communication skills in English (Arabic is a plus).</p><p>Education: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related quantitative field.</p><p>If you are interested, please share your updated CV at hr@paylaterapp.com or WhatsApp no: 60003723</p><p>Job Type: Full-time</p><p>Pay: Up to QAR6,000.00 per month</p>

Data Scientist/Analyst

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

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

Agoda

<div>
 Bangkok, Thailand
 <br/>
 <br/>
 <strong>
  About Agoda
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Our Purpose &ndash;
 </strong>
 <strong>
  Bridging the World Through Travel
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Get to Know Our Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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&rsquo;s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 <br/>
 <br/>
 <strong>
  In This Role, You&rsquo;ll Get to
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Succeed
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;s Great if You Have
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
  <br/>
  <br/>
 </em>
 #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
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Disclaimer
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Copy Link Line WeChat LinkedIn Email
 <br/>
 <br/>
</div>


Lead DS (Data Scientist) Bangkok based, Relocation provided

Qatar Airways

<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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