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Visa

<div>
 
 Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Position Summary
 
 
 
 
 
 We are seeking an innovative and analytical thinker to support our Data Science team in the GCC region based in Riyadh, KSA. As a Data Scientist, you are expected to generate data and business insights, develop predictive and prescriptive models, context-based prototypes, and high impact storyboards to promote a data-driven strategy and solutions approach for the company.
 
 
 
 
 
 
 
 Principal Responsibilities
 
 
 
 
 <ul>
 <li>
 Serve as an analytics expert in designing, developing and implementing best in analytic solutions
 </li>
 <li>
 Create and deliver powerful insights from data through better visualization and storyboarding
 </li>
 <li>
 Collaborate with internal and external partners to fully understand business requirements and desired business outcomes
 </li>
 <li>
 Demonstrate execution proficiency in handing multiple medium-to-large analytics projects in a team environment that includes the rest of the Data Science team
 </li>
 <li>
 Draft detailed scope for assigned projects, addressing suggested methodology and analytics plan
 </li>
 <li>
 Execute on the analytics plan with appropriate data mining and analytical techniques
 </li>
 <li>
 Perform quality assurance of data and deliverables for work performed by other Data Scientists and self
 </li>
 <li>
 Ensure all project documentation is up to date and all projects are reviewed per analytics plan
 </li>
 <li>
 Ensure project delivery within timelines and budget requirements
 </li>
 <li>
 Build on team&rsquo;s analytical skills and business knowledge
 </li>
 <li>
 Enhance existing analytics techniques by promoting new methodologies and best practices in the Data Science field
 </li>
 <li>
 Provide subject matter expertise and quality assurance of complex data-driven analytic projects
 </li>
 </ul>
 
 
 
 
 
 
 Technical Expertise
 
 
 
 
 <ul>
 <li>
 Experience in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.)
 </li>
 <li>
 Ability to write scratch MapReduce jobs and fluency with Spark frameworks
 </li>
 <li>
 Familiarity with both common computing environments (e.g. Linux, Shell Scripting) and commonly-used IDE&rsquo;s (Jupyter Notebooks), proficiency in SAS technologies and techniques
 </li>
 <li>
 Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL
 </li>
 <li>
 Experience in drafting solution architecture frameworks that rely on API&rsquo;s and micro-services
 </li>
 <li>
 Familiarity with common data modeling approaches, and ability to work with various datatypes including JSON, XML, etc.
 </li>
 <li>
 Ability to build data pipelines (e.g. ETL, data preparation, data aggregation and analysis) using tools such as NiFi, Sqoop, Ab Initio, familiarity with data lineage processes and schema management tools such as Avro
 </li>
 <li>
 Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.
 </li>
 <li>
 Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID)
 </li>
 <li>
 Deliver results within committed scope, timeline and budget
 </li>
 <li>
 Very strong people/project management skills and experience
 </li>
 <li>
 Ability to travel within GCC on short notice
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 &bull;2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
 
 
 
 
 Preferred Qualifications
 
 
 &bull;3 or more years of work experience with a Bachelor&rsquo;s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
 
 
 &bull;Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems
 
 
 &bull;Experience working in one or more of the Card Payments markets around the globe
 
 
 &bull;Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
 
 
 
 
 
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Data Scientist (Saudi nationals)

Takamol Holding

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.
 </li>
 <li>
 Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.
 </li>
 <li>
 Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.
 </li>
 <li>
 Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.
 </li>
 <li>
 Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.
 </li>
 <li>
 Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.
 </li>
 <li>
 Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 A degree in computer science, data science or any other relevant field. A master's is a plus
 </li>
 <li>
 4 years of experience in relevant fields
 </li>
 <li>
 Data Engineering &amp; Querying: Strong proficiency in SQL
 </li>
 <li>
 Visualization &amp; Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.
 </li>
 <li>
 Data Wrangling: Ability to handle raw, messy data&mdash;cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.
 </li>
 <li>
 Cloud &amp; Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.
 </li>
 </ul>
</div>

Data Analysis Specialist

Confidential Government

<div>
 
 
 Experience
 
 : Data Analysis &amp; Management
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Manage data analysis on the performance of competitiveness program in the industrial sector
 </li>
 <li>
 Review data insights in collaboration with the Solutions Management Section and Communication Units
 </li>
 <li>
 Coordinate with the Program Planning and Management Section to collect any required data
 </li>
 <li>
 Collaborate with the National Center for Industrial and Mining Information or other relevant entities as needed to gather inputs for data analysis
 </li>
 <li>
 Identify new technology tools and software programs for efficient and effective analysis
 </li>
 <li>
 Review the accuracy of incoming data from various teams prior to conducting the analysis
 </li>
 <li>
 Manage the development of format and design the data insights necessary for the successful operation of the program
 </li>
 <li>
 Reviews the data insights to ensure accuracy before sharing with the requesting entities and governmental authorities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science/ Information Technology/ Systems Engineering with 2 years&rsquo; experience
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science/ Information Technology/ Systems Engineering with 6 years&rsquo; experience
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Data Analytics
 </li>
 <li>
 Visualization
 </li>
 <li>
 Process Improvement
 </li>
 <li>
 Project Management
 </li>
 <li>
 Business Intelligence
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Data Analysis &amp; Reporting
 </li>
 <li>
 Customer Relations Management
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Develop reports for the senior leadership on the competitive analysis function and share it periodically
 </li>
 <li>
 Review the data analysis operations periodically and suggest improvement for better efficiency
 </li>
 <li>
 Review the efficiency of the tools used for the data analysis and identify the areas of improvement
 </li>
 <li>
 Suggest changes in the competitive analysis operations to align with latest and best practice in the industry
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 
 
 
 Industry and Sector Experience: Utility, Industrial, Large Factory
 
 
 
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 
 
 
 
 
 
 
 Nationality
 
 : Saudi
 
 
 
 
 
 
 
 
 Language preference: Arabic, English
 
 
 
 
 
 ```
 
</div>

Section Manager of Competitive Analysis

Agoda

<div>
 Bangkok, Thailand
 
 
 
 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 &ndash;
 
 
 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&rsquo;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.
 
 
 
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 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.
 
 
 Copy Link Line WeChat LinkedIn Email
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

<div>
 
 
 Job Purpose - الغرض من الوظيفة
 
 
 
 The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).
 
 
 
 
 
 
 Responsibilities - المسؤوليات
 
 
 <ul>
 <li>
 Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
 </li>
 <li>
 Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
 </li>
 <li>
 Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
 </li>
 <li>
 Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
 </li>
 <li>
 Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
 </li>
 <li>
 Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
 </li>
 <li>
 Contribute to strengthening SPSC&rsquo;s international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
 </li>
 <li>
 Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.
 </li>
 </ul>
 
 
 
 
 
 Requirement and Qualifications - المتطلبات والمؤهلات
 
 
 <ul>
 <li>
 Bachelor or Master&rsquo;s degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
 </li>
 <li>
 Minimum of 4 years&rsquo; experience in biostatistics or healthcare data analysis, Experience in patient safety data domains is preferred.
 </li>
 <li>
 Patient Safety certification - شهادة في سلامة المرضى.
 </li>
 <li>
 Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
 </li>
 <li>
 Machine Learning specialization - تخصص في التعلم الآلي.
 </li>
 <li>
 Lean Six Sigma Green/Black Belt - لين سقما
 </li>
 <li>
 Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة
 </li>
 </ul>
 
 
 
 
 
 Skills - المهارات
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
 </li>
 <li>
 Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
 </li>
 <li>
 Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
 </li>
 <li>
 Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
 </li>
 <li>
 Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
 </li>
 <li>
 Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
 </li>
 <li>
 High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
 </li>
 <li>
 Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.
 </li>
 </ul>
 
 
</div>

Data Analysis Specialist - أخصائي تحليل بيانات

MASTER-WORKS

<div>Master-Works is seeking a highly skilled Data Quality Expert to join our team remotely. In this role, you will play a pivotal part in ensuring the integrity, accuracy, and reliability of our data across various systems. Your expertise will guide our data quality initiatives and help establish best practices that align with our organizational goals.
Key Responsibilities:<ul>
<li>Assess and enhance existing data quality processes to drive continuous improvement.</li>
<li>Develop comprehensive data quality frameworks, standards, and procedures.</li>
<li>Perform data profiling and analysis to identify issues and recommend actionable improvements.</li>
<li>Coordinate with cross-functional teams to ensure alignment on data governance and quality standards.</li>
<li>Implement data quality assessment tools and metrics to monitor data accuracy and consistency.</li>
<li>Conduct training sessions to educate team members about data quality practices and their importance.</li>
<li>Stay current with industry trends and advancements in data quality management.</li>
<li>Communicate findings and data quality status to stakeholders effectively.</li>
</ul>Requirements<ul><li><ul>
<li>Strong SQL knowledge and skills
</li><li>Telecom domain and associated data assets knowledge (CRM, Billing, CDR, network performance, inventory, .. etc)</li>
<li>Data Quality knowledge and background &bull; DAMA &amp; NDMO standards</li>
<li>ETL &amp; Data integration basic knowledge &bull; Data Profiling and Analysis basic knowledge
</li><li>TM Forum frameworks and standards awareness and background
</li><li>Strong analytical and problem-solving skills</li></ul></li></ul></div>

Data Quality Expert (Remotely)

<div>Master-Works is seeking a highly skilled Data Quality Expert to join our team and lead the effort to ensure the integrity and reliability of our data assets. In this role, you will be responsible for establishing and enforcing data quality standards, conducting assessments, and driving initiatives that enhance our overall data quality processes. Your expertise will play a critical role in supporting strategic decision-making across the organization.
Key Responsibilities:<ul>
<li>Develop and implement comprehensive data quality frameworks and policies that align with business objectives.</li>
<li>Design and establish metrics to measure data quality and monitor data health across various systems.</li>
<li>Conduct data profiling and audits to evaluate the accuracy, completeness, and consistency of data.</li>
<li>Lead root cause analysis of data quality issues and collaborate with cross-functional teams to implement corrective actions.</li>
<li>Provide training and support on data quality standards and best practices to stakeholders and team members.</li>
<li>Stay informed on industry trends and emerging technologies related to data quality, and apply relevant findings to improve practices.</li>
<li>Document data quality processes, guidelines, and best practices for future reference and compliance.</li>
</ul>Requirements<ul>
<li>Strong SQL knowledge and skills
</li><li>Telecom domain and associated data assets knowledge (CRM, Billing, CDR, network performance, inventory, .. etc)</li>
<li>Data Quality knowledge and background &bull; DAMA &amp; NDMO standards</li>
<li>ETL &amp; Data integration basic knowledge &bull; Data Profiling and Analysis basic knowledge
</li><li>TM Forum frameworks and standards awareness and background
</li><li>Strong analytical and problem-solving skills</li></ul></div>

Data Quality expert

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