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data scientist

MASTER-WORKS

<div>Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.
Key Responsibilities:<ul>
<li>Design and develop robust data models and algorithms to tackle complex business issues.</li>
<li>Perform extensive data analysis to identify insights, patterns, and trends from various data sources.</li>
<li>Implement predictive analytics using machine learning and statistical methods to enhance decision-making.</li>
<li>Collaborate with cross-functional teams to translate business requirements into analytical solutions.</li>
<li>Communicate findings and actionable insights clearly to stakeholders at all levels.</li>
</ul>Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.
Requirements<ul>
<li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.</li>
<li>3+ years of experience in data science, analytics, or a related field.</li>
<li>Proficient in programming languages such as Python, R, or SQL.</li>
<li>Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).</li>
<li>Strong skills in data visualization tools, such as Tableau or Power BI.</li>
<li>Solid understanding of statistical analysis and modeling techniques.</li>
<li>Effective problem-solving skills and attention to detail.</li>
<li>Strong communication skills to convey complex data concepts to non-technical audiences.</li></ul></div>

Data Scientist

Master Works

<div>
 Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and develop robust data models and algorithms to tackle complex business issues
 </li>
 <li>
 Perform extensive data analysis to identify insights, patterns, and trends from various data sources
 </li>
 <li>
 Implement predictive analytics using machine learning and statistical methods to enhance decision-making
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into analytical solutions
 </li>
 <li>
 Communicate findings and actionable insights clearly to stakeholders at all levels
 
 
 </li>
 </ul>
 Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 <li>
 3+ years of experience in data science, analytics, or a related field
 </li>
 <li>
 Proficient in programming languages such as Python, R, or SQL
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn)
 </li>
 <li>
 Strong skills in data visualization tools, such as Tableau or Power BI
 </li>
 <li>
 Solid understanding of statistical analysis and modeling techniques
 </li>
 <li>
 Effective problem-solving skills and attention to detail
 </li>
 <li>
 Strong communication skills to convey complex data concepts to non-technical audiences
 </li>
 </ul>
</div>

Mozn

<div>
 
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it'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 Al 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 Al-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 Al to create a long-lasting impact.
 
 
 
 
 
 
 About the role
 
 
 
 We are seeking a Data Scientist with an interest in Natural Language Processing (NLP). In this role, you will assist in developing NLP models, apply problem solving skills, and support in pretraining and fine-tuning Large Language Models (LLMs). The ideal candidate will have a foundational understanding of data science, with a desire to specialize in NLP and machine learning, and a passion for learning and developing real-world solutions.
 
 
 
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Assist in the development and implementation of Natural Language Processing (NLP) models and LLMs
 </li>
 <li>
 Apply problem-solving skills to assist in the development of products and solutions, with a focus on learning and growth
 </li>
 <li>
 Support in pretraining and fine-tuning Large Language Models (LLMs), task solvers, and RAG.
 </li>
 <li>
 Collaborate with cross-functional teams to implement models, monitor outcomes, and iterate on solutions
 </li>
 <li>
 Conduct data analysis and exploratory research to uncover patterns, trends, and insights that can improve model performance and drive business outcomes.
 </li>
 <li>
 Assist in the evaluation and selection of appropriate algorithms, techniques, and methodologies for solving specific NLP problems
 </li>
 <li>
 Collaborate with senior data scientists and managers to document and communicate the results of model development and experiments effectively
 </li>
 <li>
 Stay up to date with the latest advancements in NLP, LLMs, RAG, and related fields, actively seeking opportunities to enhance knowledge and skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Data Science, Engineering, or a related field
 </li>
 <li>
 Proficiency in Arabic language (Native Arabic speaker) is a must. Knowledge of Modern Standard Arabic grammar and morphology is a plus
 </li>
 <li>
 3+ years of experience as a Data Scientist specialized in NLP or similar role
 </li>
 <li>
 Solid understanding of machine learning, natural language processing (NLP), large language models (LLMs), and deep learning techniques
 </li>
 <li>
 Deep expertise in Python's NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers
 </li>
 <li>
 Excellent problem-solving skills and ML system design with an emphasis on product development
 </li>
 <li>
 Hands-on experience in deep learning frameworks such as TensorFlow or PyTorch
 </li>
 <li>
 Experience in R&amp;D is desirable
 </li>
 <li>
 Experience in one or more of the following is a must:
 </li>
 <li>
 LLMs pre-training, fine-tuning, and building LLMs, with demonstrable results
 </li>
 <li>
 Building Advanced (not plain-vanilla) Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Information Retrieval, Embedders and Re-rankers training and finetuning
 </li>
 <li>
 Sense of Data quality and Data-centric approaches is a plus
 </li>
 <li>
 Experience in model optimization, serving and scalability is a plus
 </li>
 <li>
 Experience in OCR and its advanced techniques is a plus
 </li>
 <li>
 Familiarity with cloud platforms like AWS, GCP, or Azure is a plus
 </li>
 <li>
 Must be Humble, Excellent, Relevant with a high sense of Ownership
 </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>
 <li>
 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>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in Al.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
 
 
</div>

atmaal

<div>
 
 A data scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques
 
 
 
 
 
 
 Department
 
 
 
 Digital (Advanced Analytics CoE)
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 </li>
 <li>
 Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 </li>
 <li>
 Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 </li>
 <li>
 Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 </li>
 <li>
 Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 </li>
 <li>
 Develop and deploy analytical solutions using platforms like Vertex AI for model development, and PowerBI for insight visualization, ensuring seamless integration with business workflows.
 </li>
 <li>
 Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 </li>
 <li>
 Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 </li>
 <li>
 Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle
 </li>
 </ul>
 
 
 
 
 
 Expertise Required
 
 
 
 
 
 <ul>
 <li>
 Power BI
 </li>
 <li>
 Big Query
 </li>
 <li>
 Google Cloud Platform
 </li>
 <li>
 Google Cloud Storage
 </li>
 <li>
 Vertex AI
 </li>
 <li>
 Python
 </li>
 <li>
 Technical Proficiency
 </li>
 <li>
 Business Knowledge
 </li>
 </ul>
 
 
</div>

Jeel

<div>
 
 
 Senior Data Scientist &ndash; Drive AI Innovation at Jeel!
 
 
 
 
 
 
 📍
 
 Location:
 
 Riyadh, Saudi Arabia
 
 
 🏢
 
 Company:
 
 Jeel Digital Innovations (A Subsidiary of Riyad Bank)
 
 
 
 
 
 
 About Jeel Digital Innovations:
 
 
 
 Jeel is more than a tech company &ndash; we are a bold digital movement redefining financial services through AI, data science, and cutting-edge digital products. As a subsidiary of Riyad Bank, Jeel combines start-up agility with the scale and security of a major financial institution.
 
 
 We&rsquo;re building a future where data is not just analysed &ndash; it&rsquo;s activated to solve real-world challenges. If you're passionate about machine learning, intelligent automation, and ethical AI, we want you on our team.
 
 
 
 
 
 
 About the Role:
 
 
 
 As a Senior Data Scientist at Jeel, you&rsquo;ll lead the design, development, and deployment of scalable AI/ML solutions that directly impact customers, internal decision-making, and business outcomes. You&rsquo;ll work across data engineering, MLOps, analytics, and governance &ndash; while exploring the frontier of GenAI, LLMs, and applied data science in fintech.
 
 
 This role isn&rsquo;t just about building models &ndash; it&rsquo;s about shaping the AI strategy of a digitally-ambitious organisation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 🧠
 
 AI Strategy &amp; Model Development
 
 &ndash; Build and operationalise ML models that solve high-impact business problems using Python, TensorFlow, PyTorch, and Scikit-learn.
 
 
 📊
 
 Data Analytics &amp; Visualisation
 
 &ndash; Deliver predictive insights via tools like Tableau, Power BI, and Apache Superset.
 
 
 🚀
 
 MLOps &amp; Deployment
 
 &ndash; Deploy robust, scalable models via CI/CD, Docker, Kubernetes and cloud platforms (GCP, Azure, AWS).
 
 
 📉
 
 Cost Efficiency &amp; Performance Tuning
 
 &ndash; Optimise data pipelines, AI workloads, and storage costs across cloud-native platforms.
 
 
 🛡️
 
 Ethical AI &amp; Governance
 
 &ndash; Ensure regulatory compliance (SAMA, GDPR, NCA) and promote responsible AI standards.
 
 
 🤝
 
 Cross-Functional Collaboration
 
 &ndash; Work closely with engineers, product owners, and business leaders to embed intelligence into every decision.
 
 
 
 
 
 
 Who We&rsquo;re Looking For:
 
 
 
 ✅
 
 Education
 
 : Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, Statistics, or related field.
 
 
 ✅
 
 Experience
 
 : 5+ years in data science/ML; hands-on cloud AI deployment; MLOps and big data engineering.
 
 
 ✅
 
 Technical Stack
 
 : Python, R, SQL, Spark, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, GitLab CI, Apache Kafka.
 
 
 ✅
 
 Bonus
 
 : Experience with LLMs, RAG, NLP, and real-time data streaming.
 
 
 ✅
 
 Soft Skills
 
 : Strategic mindset, excellent storytelling, collaboration, and curiosity.
 
 
 
 
 
 
 Why Join Jeel?
 
 
 
 🌍
 
 Impact-Driven AI Work
 
 &ndash; Solve real challenges in fintech and digital banking with ethical, future-ready AI.
 
 
 🏗️
 
 Full-Stack Data Environment
 
 &ndash; Engage across model building, data engineering, deployment, and experimentation.
 
 
 📈
 
 Learn &amp; Grow
 
 &ndash; Continuous learning is in our DNA. Explore LLMs, AutoML, cloud AI, and emerging trends.
 
 
 🤝
 
 A Collaborative Culture
 
 &ndash; Work with mission-driven experts who believe in purpose, autonomy, and excellence.
 
 
 🚀
 
 Shape Tomorrow
 
 &ndash; Your insights will drive innovation across Jeel&rsquo;s next-gen digital products and services.
 
 
 
 
 
 
 Ready to Build the Future of AI at Jeel?
 
 
 
 If you're excited about innovation, passionate about data, and driven to make a difference &ndash; apply now and join us on this journey.
 
</div>

Senior Data Scientist

Devoteam

<div>
 
 
 Company Description
 
 
 
 
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,&nbsp;
 
 
 
 Values:
 
 
 
 1. Respect
 
 
 2. Frankness
 
 
 3. Passion
 
 
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 &nbsp;
 
 
 
 
 Job Description
 
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :&nbsp;
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering&nbsp;
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 
 Advanced Technical Skills:&nbsp;&nbsp;Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 
 </li>
 <li>
 
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 
 </li>
 <li>
 
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 
 </li>
 <li>
 
 &nbsp;
 
 
 Build conversational AI applications.
 
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 </li>
 </ul>
 
 
 
 Additional Information
 
 
 
 
 BU: Data Intelligence
 
 
 Senio Level&nbsp;
 
</div>

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)

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