146 Scientist jobs in Saudi Arabia

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:

• Design and develop robust data models and algorithms to tackle complex business issues.
• Perform extensive data analysis to identify insights, patterns, and trends from various data sources.
• Implement predictive analytics using machine learning and statistical methods to enhance decision-making.
• Collaborate with cross-functional teams to translate business requirements into analytical solutions.
• Communicate findings and actionable insights clearly to stakeholders at all levels.

Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science, analytics, or a related field.
• Proficient in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).
• Strong skills in data visualization tools, such as Tableau or Power BI.
• Solid understanding of statistical analysis and modeling techniques.
• Effective problem-solving skills and attention to detail.
• Strong communication skills to convey complex data concepts to non-technical audiences.

Müller's Solutions is looking for an experienced Data Scientist to join our dynamic team. In this position, you will leverage your analytical and programming skills to transform data into actionable insights that drive business decisions. You will collaborate closely with various departments to develop predictive models, enhance data-driven strategies, and optimize processes using cutting-edge data science techniques.

Responsibilities:

• Analyze vast amounts of structured and unstructured data to derive insights and generate actionable recommendations
• Develop, implement, and maintain machine learning models to address specific business needs
• Work alongside stakeholders to define project objectives and translate business requirements into technical tasks
• Conduct experiments and validate analytical models using appropriate methodologies
• Create data visualizations and dashboards to effectively communicate technical findings and results to non-technical stakeholders
• Stay abreast of industry trends and emerging technologies in data science and analytics
• Ensure data integrity and adherence to data governance principles
• Mentor junior data analysts and provide guidance on data science best practices
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Proven experience as a Data Scientist or in a similar data-focused role
• Proficient in programming languages such as Python or R, with demonstrated experience in data manipulation and analysis
• Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Strong skills in data visualization tools (e.g., Tableau, Power BI) for developing clear and actionable insights
• Strong understanding of statistical methods, modeling techniques, and their practical applications
• Proficient in SQL for data extraction and manipulation
• Excellent analytical thinking and problem-solving abilities
• Strong communication skills, with the ability to convey complex technical concepts in an understandable manner
• Ability to work both independently and collaboratively within a team
  
  

Summary
Designs and conducts research projects with minimal supervision; writes papers and scientific reports; presents and discusses data in meetings and seminars; provides new scientific or managerial capabilities or expertise to the research unit; and supervises research technician(s), trainees and students.
Essential Responsibilities and Duties

1. Carries out advanced independent and/or directed research to achieve the objectives of the research project.
2. Develops new methods and technologies when necessary for project advancement.
3. Participates in manuscript writing for publication in scientific journals and/or presentations.
4. Searches for funding opportunities and writes grant applications.
5. Teaches research techniques to others; trains and oversees technicians, students and/or fellows.
6. Engages in appropriate training and professional development opportunities as required in order to enhance professional skills and research independence needed for pursuit of a career.
7. Assists in overseeing the laboratory including maintaining the supplies, equipment and ordering of necessary materials.
8. Follows all laboratory safety rules and regulations.
9. Follows all hospital related policies and procedures.
10. Participates in self and others education, training and development, as applicable.
11. Performs other related duties as assigned.

• Evidence of scientific productivity during postdoctoral training period is required in terms of publications as a first author in peer-reviewed journals and reflected with his/her significant technical and scientific contribution to the publications. The required number of publications depends on their quality measured by journal impact factor, the rank of the journal and the complexity of the subject in the field of study.
• Role as a co-investigator in at least two (2) fully ongoing research projects.
• Proven records of presenting original data at least once in a national or international meeting.
• Evidence of mentoring ability and supervisory skills to students and technical staff.

Job Summary

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. 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.

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

• Proven experience as a Data Scientist
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Overview

Summary

Designs and conducts research projects with minimal supervision; writes papers and scientific reports; presents and discusses data in meetings and seminars; provides new scientific or managerial capabilities or expertise to the research unit; and supervises research technician(s), trainees and students.

1. Carries out advanced independent and/or directed research to achieve the objectives of the research project.
2. Develops new methods and technologies when necessary for project advancement.
3. Participates in manuscript writing for publication in scientific journals and/or presentations.
4. Searches for funding opportunities and writes grant applications.
5. Teaches research techniques to others; trains and oversees technicians, students and/or fellows.
6. Engages in appropriate training and professional development opportunities as required in order to enhance professional skills and research independence needed for pursuit of a career.
7. Assists in overseeing the laboratory including maintaining the supplies, equipment and ordering of necessary materials.
8. Follows all laboratory safety rules and regulations.
9. Follows all hospital related policies and procedures.
10. Participates in self and others’ education, training and development, as applicable.
11. Performs other related duties as assigned.

Doctor of Philosophy (PhD) degree or Doctor of Science (DSc) degree from an accredited institution in a scientific discipline relevant to the research field is required.

Three (3) years of directly related experience post-doctoral degree required.

• Evidence of scientific productivity during postdoctoral training period is required in terms of publications as a first author in peer-reviewed journals and reflected with his/her significant technical and scientific contribution to the publications. The required number of publications depends on their quality measured by journal impact factor, the rank of the journal and the complexity of the subject in the field of study.
• Role as a co-investigator in at least two (2) fully ongoing research projects.
• Proven records of presenting original data at least once in a national or international meeting. Evidence of mentoring ability and supervisory skills to students and technical staff.

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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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.

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