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business analyst - data privacy Jobs in Riyadh

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data management / analytics expert

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data management consultant

senior data scientist

Mozn

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.
 
 
 We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
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 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
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 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
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 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
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 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
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 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
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 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
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 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
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 Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
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 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
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 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
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 Applied experience in machine learning, such as conducting model experiments.
 </li>
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 Experience in version control systems, such as Git, GitHub.
 </li>
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 Programming experience in SQL or NoSQL is preferred.
 </li>
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 Familiarity with big data technologies, such as Spark.
 </li>
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 Experience in deep learning frameworks, such as PyTorch.
 </li>
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 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
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 Familiarity with containerization frameworks, such as Docker.
 </li>
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 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
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 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
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 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
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 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist

MBC GROUP

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Model Development &amp; Implementation
 
 : Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
 </li>
 <li>
 
 AI Solutions
 
 : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
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 Data Analysis &amp; Exploration
 
 : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
 </li>
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 Collaborative Problem Solving
 
 : Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
 </li>
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 Model Optimization
 
 : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
 </li>
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 Scalability &amp; Performance
 
 : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
 </li>
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 Stay Current with AI Trends
 
 : Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
 </li>
 <li>
 
 Reporting &amp; Communication
 
 : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
 </li>
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 Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
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 Strong proficiency in programming languages such as Python, R, or similar.
 </li>
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 Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
 </li>
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 Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
 </li>
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 Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
 </li>
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 Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
 </li>
 </ul>
 
 
 
</div>

EjadTech - إيجاد التقنية

<div>
 
 To analyze large and complex datasets using statistical methods and machine learning algorithms, deriving valuable insights that support strategic decision-making and enhance organizational performance.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Collect, clean, and prepare data from various internal and external sources.
 
 
 Design and build predictive models using Machine Learning and AI techniques.
 
 
 Apply advanced statistical analysis to discover hidden patterns and relationships.
 
 
 Develop interactive dashboards and reports using Business Intelligence tools (Power BI, Tableau).
 
 
 Collaborate with cross-functional teams (IT, Development, Business) to translate needs into analytical solutions.
 
 
 Monitor, validate, and continuously improve model performance.
 
 
 Present findings and provide actionable recommendations to senior management.
 
 
 Stay up to date with the latest trends in data science and emerging technologies.
 
 
 
 
 
 
 Qualifications:
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 Minimum of 3 years of professional experience in data analysis, data science, or predictive modeling.
 
 
 Proficiency in programming languages (Python, R, SQL).
 
 
 Knowledge of Big Data tools (Hadoop, Spark) is a plus.
 
 
 Strong skills in data visualization and reporting.
 
 
 Excellent analytical thinking and problem-solving abilities.
 
 
 Strong communication skills and ability to work in a team environment.
 
 
 
 
 
 
 Core Skills:
 
 
 
 Statistical Data Analysis
 
 
 Machine Learning &amp; Artificial Intelligence
 
 
 Business Intelligence (BI) Dashboards
 
 
 Database Management (SQL/NoSQL)
 
 
 Data Interpretation &amp; Storytelling for Non-Technical Stakeholders
 
</div>

Whiteshield

<div>Whiteshield combines AI with economic expertise to solve real policy challenges. In the AI Economics unit, you&rsquo;ll turn data into decisions that shape how governments and businesses set policy, manage resources, and plan for growth.
You&rsquo;ll combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from sources like satellite imagery, trade data, and macroeconomic indicators. You&rsquo;ll design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools that deliver measurable impact.
Requirements
We are looking for strong data scientists and technically literate consultants. We ask people to understand a problem, ideate a solution that addresses the core need, build it technically, then communicate it with clarity and confidence. If you are capable of some of that and eager to develop the rest, we encourage you to apply.
Intellectual curiosity, problem-solving drive, and a focus on real-world impact are the priorities
Benefits<ul><li>
Real influence and access &ndash; Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.</li><li>
Room to innovate &ndash; If you see a better way, try it. We encourage new methods and actively pilot new technologies.</li><li>
Cutting-edge tools &ndash; Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.</li><li>
Structured growth &ndash; Learn from senior experts through hands-on mentoring and project-based skill transfer.</li></ul></div>

Whiteshield Data Scientist - AI Economics Unit

<div>
 Whiteshield combines AI with economic expertise to solve real policy challenges. In the AI Economics unit, you'll turn data into decisions that shape how governments and businesses set policy, manage resources, and plan for growth.
 
 
 You'll combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from sources like satellite imagery, trade data, and macroeconomic indicators. You'll design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools that deliver measurable impact.
 
 
 
 Requirements
 
 
 
 We are looking for strong data scientists and technically literate consultants. We ask people to understand a problem, ideate a solution that addresses the core need, build it technically, then communicate it with clarity and confidence. If you are capable of some of that and eager to develop the rest, we encourage you to apply.
 
 
 Intellectual curiosity, problem-solving drive, and a focus on real-world impact are the priorities
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Real influence and access - Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.
 </li>
 <li>
 Room to innovate - If you see a better way, try it. We encourage new methods and actively pilot new technologies.
 </li>
 <li>
 Cutting-edge tools - Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.
 </li>
 <li>
 Structured growth - Learn from senior experts through hands-on mentoring and project-based skill transfer.
 </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 oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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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>

Lead DS (Data Scientist) Bangkok based, Relocation provided

TAWANTECH

<div>Job Summary:
We are seeking a highly skilled and experienced Data Privacy Consultant to support and ensure compliance with the Personal Data Protection Law (PDPL). The consultant will collaborate with internal stakeholders and external regulators to implement and maintain effective data privacy and protection frameworks, helping the organization mitigate privacy risks and align with legal obligations.
Key Responsibilities:<ul><li>Coordinate with SDAIA regarding notifications and potential violations, and provide required information on behalf of the organization.</li><li>Collaborate with internal teams and data champions to ensure continuous compliance with data protection requirements.</li><li>Review and maintain Records of Processing Activities (RoPA) as mandated by SDAIA.</li><li>Conduct privacy impact assessments for new services or significant changes.</li><li>Identify and implement appropriate technical and organizational safeguards to mitigate risks to data subjects.</li><li>Advise and assist the organization in meeting its obligations under PDPL.</li><li>Evaluate compliance documentation and identify any gaps or areas for improvement.</li><li>Ensure data protection policies and procedures are regularly updated and aligned with PDPL requirements.</li><li>Manage the organization&rsquo;s registration on the SDAIA portal.</li><li>Provide expert input on data protection impact assessments and risk management.</li><li>Communicate privacy incidents proactively to relevant stakeholders.</li><li>Assist in identifying, notifying, and managing data breaches.</li><li>Provide expert advice and guidance to internal teams and external data processors.</li><li>Conduct privacy training and awareness programs for employees.</li><li>Monitor, audit, and report on the organization&rsquo;s compliance with PDPL and internal data protection practices.</li><li>Handle data subject requests and inquiries in accordance with legal and organizational protocols.</li></ul>
Requirements
Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s degree in Information Security or any related field.</li><li>Minimum of 7 years of experience in data privacy, information governance, regulatory compliance, or a related area.</li><li>In-depth knowledge of PDPL and related regulatory frameworks.</li><li>Proven experience in conducting privacy risk assessments and managing data privacy incidents.</li><li>Familiarity with RoPA and SDAIA requirements is preferred.</li><li>Strong interpersonal, communication, and analytical skills.</li><li>Ability to work independently and collaboratively in a cross-functional environment.</li></ul></div>

Senior Data Privacy -Banking Domain

Explore 1288+ Senior data scientist in Riyadh this October. Find roles across top companies and apply now to boost your career.

1288 senior data scientist jobs IN Riyadh

Data Scientist

Data Scientist

Data Scientist

Whiteshield Data Scientist - AI Economics Unit

Whiteshield Data Scientist - AI Economics Unit

Lead DS (Data Scientist) Bangkok based, Relocation provided

Senior Data Privacy -Banking Domain