data scientist

data analyst

senior data scientist (bangkok based, relocation provided) Jobs in Saudi Arabia

senior data scientist (bangkok based, relocation provided)

whiteshield data scientist - ai economics unit Jobs in Saudi Arabia

whiteshield data scientist - ai economics unit

data & business analyst Jobs in Saudi Arabia

data & business analyst

senior data scientist

Tuwaiq Academy | أكاديمية طويق

<div>
 
 
 Job Description:
 
 
 
 A Senior Data Scientist with extensive experience in data analysis, predictive modeling, and artificial intelligence. You will join our team to analyze big data and produce outputs that support strategic decision-making in the organization. Your role involves designing and implementing data-driven solutions to enhance business performance and achieve organizational goals.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Analysis and Insights:
 
 
 <ul>
 <li>
 Collect and analyze large and complex datasets from various sources.
 </li>
 <li>
 Create reports and visual dashboards to support decision-making.
 </li>
 </ul>
 
 
 Develop Predictive and Analytical Models:
 
 
 <ul>
 <li>
 Design and apply machine learning models to optimize processes and predict future trends.
 </li>
 <li>
 Continuously evaluate and improve model performance.
 </li>
 </ul>
 
 
 Data Management and Infrastructure:
 
 
 <ul>
 <li>
 Collaborate with IT teams to ensure efficient organization and storage of data.
 </li>
 <li>
 Implement data cleaning and transformation (ETL) processes to prepare data for analysis.
 </li>
 </ul>
 
 
 Team Collaboration:
 
 
 <ul>
 <li>
 Work with marketing, sales, and management teams to understand their requirements and integrate data-driven solutions.
 </li>
 </ul>
 
 
 Research and Innovation:
 
 
 <ul>
 <li>
 Stay updated with the latest technologies and trends in data science to provide innovative solutions.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 Education and Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
 </li>
 <li>
 At least 5 years of practical experience in data science or data analysis.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 
 Programming Languages:
 
 Proficiency in Python and/or R.
 </li>
 <li>
 
 Data Analysis:
 
 Experience with libraries such as Pandas and NumPy.
 </li>
 <li>
 
 Databases:
 
 Strong knowledge of SQL and experience with relational databases.
 </li>
 <li>
 
 Visualization Tools:
 
 Experience with tools like Tableau, Power BI, or Matplotlib.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits:
 
 
 
 At Tuwaiq Academy, we don&rsquo;t just offer jobs &mdash; we build careers. Here&rsquo;s what makes working with us a rewarding experience:
 
 
 
 Competitive Compensation
 
 
 
 We offer a salary package that reflects your skills, experience, and the value you bring to our team.
 
 
 
 Comprehensive Health Coverage
 
 
 
 Your well-being matters. We provide medical
 
 VIP insurance
 
 plans that cover you and your family. As well as
 
 Parents Insurance
 
 .
 
 
 
 Educational Support:
 
 
 
 We offer
 
 educational assistance for your children&rsquo;s school expenses
 
 .
 
 
 
 Wellness Support
 
 
 
 We contribute to covering your
 
 gym memberships, fitness classes, and even sports equipment
 
 , because a healthy team is a strong team.
 
 
 
 Career Growth &amp; Development
 
 
 
 We invest in your future. From regular training programs to access to certifications, mentorship, and promotion opportunities &mdash; your growth is our priority.
 
 
 
 Work-Life Balance
 
 
 
 Flexible working hours and a supportive environment help you thrive both professionally and personally.
 
 
 
 Impact-Driven Culture
 
 
 
 Be part of a team that values innovation, collaboration, and making a real difference.
 
 
 
 Team Engagement &amp; Events
 
 
 
 Regular team-building activities, wellness programs, and employee appreciation events to keep the workplace fun and engaging.
 
 
 
 Modern Tools &amp; Tech
 
 
 
 Work with the latest technologies and tools that empower creativity and productivity.
 
</div>

Senior Data Scientist

SALLA

<div>We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.<h3 class="jobSectionHeader"> 
Responsibilities</h3><ul>
<li>Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.</li>
<li>Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.</li>
<li>Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.</li>
<li>Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.</li>
<li>Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.</li>
<li>Design new service offerings and solutions in E-Commerce and different fields.</li>
<li>Keep up to date with latest trends and technologies in the data science and ML fields.</li>
<li>Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.</li>
<li>Work closely with Business Analysts and product development teams to understand and implement their requirements.</li>
<li>Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.</li>
<li>Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.</li>
<li>At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).</li>
<li>Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.</li>
<li>Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).</li>
<li>Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications.</li>
<li>Experience in Deep Learning algorithms and techniques.</li>
<li>Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-</li>
<li>Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).</li>
<li>Excellent in Algorithms and Object-Oriented programming.</li>
<li>Familiarity with database technology (design and implementation) and query language.</li>
<li>Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.</li>
<li>Strong organizational and project management skills.</li>
<li>Good problem-solving skills.</li>
<li>Excellent communication and presentation skills</li>
</ul>Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Salla

<div>
 We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing
 </li>
 <li>
 Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices
 </li>
 <li>
 Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources
 </li>
 <li>
 Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling
 </li>
 <li>
 Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs
 </li>
 <li>
 Design new service offerings and solutions in E-Commerce and different fields
 </li>
 <li>
 Keep up to date with latest trends and technologies in the data science and ML fields
 </li>
 <li>
 Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues
 </li>
 <li>
 Work closely with Business Analysts and product development teams to understand and implement their requirements
 </li>
 <li>
 Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions
 </li>
 <li>
 Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred
 </li>
 <li>
 At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling)
 </li>
 <li>
 Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
 </li>
 <li>
 Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred)
 </li>
 <li>
 Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications
 </li>
 <li>
 Experience in Deep Learning algorithms and techniques
 </li>
 <li>
 Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-
 </li>
 <li>
 Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn)
 </li>
 <li>
 Excellent in Algorithms and Object-Oriented programming
 </li>
 <li>
 Familiarity with database technology (design and implementation) and query language
 </li>
 <li>
 Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred
 </li>
 <li>
 Strong organizational and project management skills
 </li>
 <li>
 Good problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

Agoda

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

Senior Data Scientist (Bangkok based, relocation provided)

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Data Scientist

TAWANTECH

<div>
 
 
 Job Overview:
 
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Analyze large, complex structured and unstructured datasets to derive actionable insights.
 </li>
 <li>
 Develop, validate, and deploy statistical and machine learning models.
 </li>
 <li>
 Use SQL, Python, or R to manipulate data and draw insights from large datasets.
 </li>
 <li>
 Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
 </li>
 <li>
 Implement parameter reduction techniques such as feature selection and PCA to optimize models.
 </li>
 <li>
 Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
 </li>
 <li>
 Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
 </li>
 <li>
 Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
 </li>
 <li>
 Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
 </li>
 <li>
 Collaborate with cross-functional teams including product, engineering, and business stakeholders.
 </li>
 <li>
 Ensure accuracy, consistency, and quality in data deliverables.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 3+ years of experience as a Data Scientist, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in SQL and Python or R.
 </li>
 <li>
 Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
 </li>
 <li>
 Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
 </li>
 <li>
 Experience with parameter reduction techniques (e.g., PCA, feature selection).
 </li>
 <li>
 Proven experience working with APIs, large datasets, and both structured/unstructured data.
 </li>
 <li>
 Experience using Dataiku (DSS) for building data pipelines and deploying models.
 </li>
 <li>
 Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
 </li>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
 </li>
 <li>
 Experience in the financial services or investment domain is a plus
 </li>
 </ul>
</div>

Explore 2132+ Senior data scientist in Saudi Arabia this October. Find roles across top companies and apply now to boost your career.

2132 senior data scientist jobs IN Saudi Arabia

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Bangkok based, relocation provided)

Senior Data Scientist (Bangkok based, relocation provided)

Data Scientist

Data Scientist