57 Senior Data Scientist jobs in Saudi Arabia

Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

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.

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.

• Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.
• Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.
• 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.
• 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.
• 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.
• Design new service offerings and solutions in E-Commerce and different fields.
• Keep up to date with latest trends and technologies in the data science and ML fields.
• Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.
• Work closely with Business Analysts and product development teams to understand and implement their requirements.
• Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.
• Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.

Desired Candidate Profile

• Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.
• At least 2 - 4 years' of experience as a data scientist (quantitative analytics and data modeling).
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.
• Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).
• Experience in Deep Learning algorithms and techniques.
• Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,.etc are preferred).-
• Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).
• Excellent in Algorithms and Object-Oriented programming.
• Familiarity with database technology (design and implementation) and query language.
• Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.
• Strong organizational and project management skills.
• Good problem-solving skills.
• Excellent communication and presentation skills
• Medical Health Insurance
• Performance Bonus
• Others

Company Industry

• Internet
• E-commerce
• Dotcom

Department / Functional Area

• IT Software

Keywords

• Data Scientist

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Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world’s largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

We are seeking a Data Scientist to join our Artificial Intelligence and Analytics Organization (AI&A). AI&A, within our Digital transformation office, is dedicated to realize business added value from leveraging the latest technological advancements of Artificial Intelligence (AI) and analytics. We are a center of excellence in Saudi Aramco for Artificial Intelligence technologies and data science.

Your primary role is to identify potential value from data, formulate AI and data science ideas and conceptualize them.

As the successful candidate you will be required to perform the following:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company data sources to drive optimization and improvement of product development, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to datasets.
• Support ideation endeavors in packaging new ideas/products and preparing them for minimal viable product development.
• Assess AI applicability in enhancing current business processes.

As the successful candidate you must hold a Master of Science or PhD degree in data science, computer science, computer vision, applied mathematics or a related field. You must have a minimum of 8 years of hands-on experience in Data Science & AI projects (Generative AI, Computer Vision, Natural Language Processing (NLP), Time Series). Experience in the energy sector is a plus. You must be able to demonstrate experience of bringing ideas from conceptualization to productionalization using the right tools (e.g. mlflow, kubeflow, tensorlight, etc). You must also be able to showcase a very strong expertise in data collection, cleaning, and preprocessing, and wrangling. You should be fluent in either R, or Python; both is preferred, and familiarity with golang is a plus. You must have strong experience using a variety of machine learning techniques, methods, and can rationally and scientifically decide when to use what. You should have at least 5 years of experience in building computer vision-based product. You should be able to apply transfer learning on models like, Yolo, ViT, ResNet, Unet, AlexNet, etc. You must be able to build object detection models, face/gesture recognition, and identification engines. You must have the ability to design, develop and deploy systems based on GenAI technology. You must be proficient in deep learning tools keras, tensorflow and pytorch. You must have deep knowledge and understanding of Large Language and Vision Model Transformer Architectures. You must have the ability to design, develop and deploy systems based on GenAI technology. You should be experienced in Information Retrieval (Content Recommendation, Search Metrics, Search Query, document classification, entity recognition, topic modelling, etc). You should be proficient in transfer learning and in fine tuning open-sourced transformers models such as LAMA, Mistral, Gemma, LLAVA, QWen and Intern. You should have least 5 years of experience in building time series forecasting models. You should be expert in time series forecasting models and in using technologies like LSTMs, Prophet, and time series analysis. You should be proficient in using sklearn pandas, numpy, plotly, seaborn, and relevant R libraries if R is their preferred language.

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Job ID: 15496

Tagged as: Corporate Digital Factory Dept

This position requires relocation to Saudi Arabia for 12 months.

We are seeking a highly capable Data Scientist with expertise in machine learning and GenAI to solve high-impact, telco-specific business problems. The ideal candidate will design and implement AI models using customer usage, location, and billing data, while ensuring that insights are actionable and integrated into operational workflows.

• Design and implement AI/ML models tailored to telecom use cases such as churn prediction, usage forecasting, customer segmentation, and fraud detection.
• Extract, engineer, and select relevant features from structured and unstructured data sources including mobile usage, location, and billing data .
• Develop and deploy automated pipelines for model training, retraining, monitoring, and performance evaluation in production environments.
• Collaborate with business stakeholders, CVM teams, and data engineers to operationalize models and ensure alignment with business goals.
• Apply Generative AI techniques where appropriate to improve campaign personalization, chatbots, or other customer engagement tools.
• Continuously monitor and improve model performance using feedback loops and business KPIs.
• Document models, code, and experiments for reproducibility and governance.

• 5–6 years of experience in machine learning , data science , and production-grade model development .
• Hands-on experience with Python , Scikit-learn , TensorFlow , PyTorch , or similar ML frameworks .
• Solid understanding of model lifecycle , ML Ops , and tools like Airflow , MLflow , or Kubeflow .
• Experience working with large-scale telco datasets , including CDRs, billing systems, and network data.
• Strong in feature engineering , data preprocessing , and model evaluation techniques.
• Exposure to Generative AI (GenAI) models and applications (e.g., GPT, BERT, diffusion models) is required.
• Knowledge of SQL , Spark , or Hadoop environments is a plus.

• Bachelor’s degree in Computer Science, Data Science, or a related discipline (Master’s preferred).
• Prior experience in a telecom or digital services environment.
• Strong problem-solving, communication, and stakeholder engagement skills.

• Strong communication skills and ability to present findings to client stakeholders
• Experience in Financial Services, Banking & card payments Industry is a plus
• Collaborate with cross-functional teams to understand business requirements
• Document all steps in the development process
  
  
  

• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient is other Data Science programming languages (e.g. Python, R)
• Develop, test, implement, and maintain predictive models
• Segmentation, customer lifetime value
• Identify opportunities to innovatively use data/ extract insights from complex data sets
  
  
  

• Owning the outcome (ownership)
• Being driven/passionate in analytics
• Problem solving mindset, challenging the status quo
• Self-organizing, independent and takes ownership of each task
• Meticulous to detail
• Thrive under pressure
  
  
  

• Time to deployment & value identified/realized/recommended from different use cases.
• Model accuracy (e.g., RMSE, MAE for regression tasks)
• Number of business problems addressed
• Responsiveness to business questions/problems/requests
• Number of departments/business users supported/adopted the solution
• Stakeholder Satisfaction: The level of satisfaction of stakeholders with the reports and insights provided.
• Collaboration Effectiveness: The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted.
• Data Security Compliance: Compliance with data security protocols and regulations
  
  
  

• 10years + in a similar role, ideally with financial services
  
  
  

• Advanced knowledge of statistical analysis and machine learning
• Highly Proficient in SAS programming language (SAS 9.4)
• Proficient is other Data Science programming languages (e.g. Python, R)
• Strong communication skills and ability to present findings to senior stakeholders (non technical
  

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

1. Co-develop production-level data science projects with our customers
2. Analyze and investigate various kinds of data and machine learning applications across industries and use cases
3. Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
4. Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
5. Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

• English - fluent; Arabic fluent is a big plus
• Curiosity and a desire to learn new topics and skills
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• The ability to clearly explain complex topics to technical as well as non-technical audiences
• 2 - 10 years of experience with Python and SQL
• 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
• Familiarity with data visualization in Python, R
• Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

• Experience with Consulting and/or Customer-facing Data Science roles
• Experience with Data Engineering or MLOps
• Experience building APIs
• Experience using enterprise data science tools
• Passion for teaching or public speaking

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.

For this position, Dataiku will give priority to Saudi nationals.

In This Role You'll Help The Team

• Co-develop production-level data science projects with our customers
• Analyze and investigate various kinds of data and machine learning applications across industries and use cases
• Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support
• Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
• Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality

• English - fluent; Arabic fluent is a big plus
• Curiosity and a desire to learn new topics and skills
• Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
• The ability to clearly explain complex topics to technical as well as non-technical audiences
• 2 - 10 years of experience with Python and SQL
• 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
• Familiarity with data visualization in Python, R
• Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL

• Experience with Consulting and/or Customer-facing Data Science roles
• Experience with Data Engineering or MLOps
• Experience developing WebApps in Javascript, RShiny, or Dash
• Experience building APIs
• Experience using enterprise data science tools
• Passion for teaching or public speaking

1 month ago Be among the first 25 applicants

Job Summary: The Data Scientist will focus on analyzing data to derive actionable insights that drive business decisions. This role involves working with large datasets and applying advanced analytical techniques to develop predictive models and support the data science roadmap.

Key Responsibilities:

• Analyze telecom data to identify trends, patterns, and anomalies using data stores such as SQL Server and Cloudera over Hive
• Develop and implement predictive models to improve customer experience and network performance
• Design, build, and maintain scalable data science pipelines
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions
• May participate in optimizing data pipelines, queries, and processes to improve performance and efficiency
• Ensure data quality and integrity throughout the data lifecycle
• Knowledge API exposure and consumption over Dataiku/Python is preferred if possible
• Stay updated with the latest developments in data science technologies and best practices
  
  

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field
• 3+ years of experience in data analysis or data science in the telecommunications industry
• Knowledge of CRISP-DM methodology
  
  

• Proficiency in SQL, Python is a must while cloudera and MLOps frameworks is a plus
• Strong statistical analysis and modeling skills
• Experience with big data technologies (Hadoop, Cloudera, Spark)
• Knowledge in Geospatial and GIS data analysis and visualization and dealing with GIS files (KQL/KML)
• Familiarity of REST API development which is preferred to be done on Dataiku
• RAG/LLM knowledge
• NLP and Classical Machine Learning Knowledge
  
  

• Proficiency or Certification in Dataiku
• Local GCC experience, preferably Saudi projects
• Experience in the telecommunications industry

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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Bachelors in Computer Application(Computers)

Nationality

Any Nationality

Vacancy

1 Vacancy

Job Description

Data Scientist

Location: Dubai, Abu Dhabi, or Saudi Arabia

Salary: 25,000 AED per month

Contract Type: Permanent

Arcus Search have partnered with an AI Consultancy who are looking for a Data Scientist to join the team, and help lead on a number of highly important projects within the Oil & Gas Industry.

Leveraging Computer Vision and LLM s, my client have been developing and deploying several use cases into some of the leading Oil & Gas companies in the GCC. They now seek a talented Data Scientist, who has practical experience of working with Computer Vision & LLMs, to assist on several client initiatives.

Must have experience:

• Computer Vision
• LLMs
• Predictive modelling

Nice to have:

• Oil & Gas

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at

This position requires relocation to Saudi Arabia for 12 months.

We are seeking a highly capable Data Scientist with expertise in machine learning and GenAI to solve high-impact, telco-specific business problems. The ideal candidate will design and implement AI models using customer usage, location, and billing data, while ensuring that insights are actionable and integrated into operational workflows.

• Design and implement AI/ML models tailored to telecom use cases such as churn prediction, usage forecasting, customer segmentation, and fraud detection.
• Extract, engineer, and select relevant features from structured and unstructured data sources including mobile usage, location, and billing data .
• Develop and deploy automated pipelines for model training, retraining, monitoring, and performance evaluation in production environments.
• Collaborate with business stakeholders, CVM teams, and data engineers to operationalize models and ensure alignment with business goals.
• Apply Generative AI techniques where appropriate to improve campaign personalization, chatbots, or other customer engagement tools.
• Continuously monitor and improve model performance using feedback loops and business KPIs.
• Document models, code, and experiments for reproducibility and governance.

• 5–6 years of experience in machine learning , data science , and production-grade model development .
• Hands-on experience with Python , Scikit-learn , TensorFlow , PyTorch , or similar ML frameworks .
• Solid understanding of model lifecycle , ML Ops , and tools like Airflow , MLflow , or Kubeflow .
• Experience working with large-scale telco datasets , including CDRs, billing systems, and network data.
• Strong in feature engineering , data preprocessing , and model evaluation techniques.
• Exposure to Generative AI (GenAI) models and applications (e.g., GPT, BERT, diffusion models) is required.
• Knowledge of SQL , Spark , or Hadoop environments is a plus.

• Bachelor’s degree in Computer Science, Data Science, or a related discipline (Master’s preferred).
• Prior experience in a telecom or digital services environment.
• Strong problem-solving, communication, and stakeholder engagement skills.