170 Data Scientist jobs in Saudi Arabia

Overview

• Experience: 4+ years as a Data Scientist with hands-on experience in building Machine Learning models


• Language: English proficiency. Arabic is an advantage

• Develop, and assist in implementation of predictive models using machine learning techniques for various business needs, such as pro-active retention, finding hidden affluent customers, customer segmentation, and identifying target segments for below the line marketing campaigns


• Lead end-to-end data science project from data collection, cleaning, preprocessing, exploratory data analysis, feature engineering, model development and validation


• Manage end-to-end data science projects, including problem definition


• Collaborate with client internal stakeholders to define project scope, deliverables, and timelines


• Work closely with Data Engineering teams to establish data pipelines and infrastructure for efficient model development and deployment


• Communicate insights and recommendations to non-technical stakeholders through visualizations, presentations, and reports


• Actively and efficiently liaison with Mastercard Teams;


• Monitoring and ongoing analysis of progress


• Provide comprehensive model documentation at the end of the project and plan project handover initiatives

• Over 4+ years of hands on Data Science experience with a strong focus on predictive modeling and machine learning in a financial services or related industry


• Proven experience in managing end-to-end data science projects, from concept to deployment and maintenance. Should be capable of executing tasks independently once the scope is defined


• Strong problem-solving skills with a focus on data-driven decision-making


• Ability to analyze large datasets, identify trends, and generate actionable insights


• Excellent verbal and written communication skills, with the ability to explain complex data science concepts to non-technical stakeholders


• Ability to work collaboratively in a team environment and influence stakeholders across various functions


• Masters or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field

• 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

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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Job Overview

We are seeking an experienced Data Scientist to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.

• Analyze large, complex structured and unstructured datasets to derive actionable insights.
• Develop, validate, and deploy statistical and machine learning models.
• Use SQL, Python, or R to manipulate data and draw insights from large datasets.
• Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
• Implement parameter reduction techniques such as feature selection and PCA to optimize models.
• Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
• Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
• Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
• Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders.
• Ensure accuracy, consistency, and quality in data deliverables.

Overview

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.

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.

• Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
• Communicate highly technical results and methods clearly to a wide variety of external clients.
• Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
• Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
• Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
• Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
• Plan and execute solutions' development from data gathering to intelligent decision making.
• Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.

• B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
• 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.
• Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
• Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
• Applied experience in machine learning, such as conducting model experiments.
• Experience in version control systems, such as Git, GitHub.
• Programming experience in SQL or NoSQL is preferred.
• Familiarity with big data technologies, such as Spark.
• Experience in deep learning frameworks, such as PyTorch.
• Expertise in Natural Language Understanding and/or Risk Management applications.
• Familiarity with containerization frameworks, such as Docker.
• Research experience in optimization and natural language processing (NLP).
• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• 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.
• 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
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Overview

Who Are We

HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools. HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments, HALA Cashier and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations. Founded in 2017, HALA is currently duly licensed by the Saudi Arabian Central Bank as well as the Financials Services Regulatory Authority (FSRA) in Abu Dhabi Global Market.

About the Role

We’re hiring a Data Scientist with 3–5 years of experience to help shape the future of AI and ML at HALA. You’ll be working closely with leadership to define the roadmap, uncover high impact use cases, and develop models that drive real business value. This role is ideal for someone who enjoys the challenge of building from the ground up—bringing structure, experimentation, and vision to a space full of potential.

What You’ll Do

• Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
• Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
• Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
• Upskill the Org : Act as a mentor to junior analysts and team members; contribute to building a data science culture through peer reviews, workshops, and knowledge-sharing
• Cross-Functional Collaboration : Work hand-in-hand with teams across the company to deeply understand their challenges and co-create solutions that leverage data

• 3–5 years of experience in a data science or applied ML role, ideally in a FinTech or high-growth startup environment
• Strong Python and SQL skills, and experience with ML libraries like scikit-learn, XGBoost, LightGBM, or similar
• A strategic mindset: you’re comfortable identifying business opportunities, prioritizing impact, and navigating ambiguity
• Excellent communication and storytelling skills—you can turn data into action and rally teams around your ideas
• Experience (or interest) in working on use cases like credit scoring, fraud detection, or customer lifecycle modeling is a big plus

What We Offer You

• We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
• We offer highly competitive compensation packages, including the potential for shares.
• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
• Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
• 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.

If you think you have what it takes to join a remarkable team #apply_now

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

Responsibilities:

• Model Development & 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.
• AI Solutions : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
• Data Analysis & Exploration : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
• 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’s objectives.
• Model Optimization : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
• Scalability & Performance : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
• 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.
• Reporting & Communication : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong proficiency in programming languages such as Python, R, or similar.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
• Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
• Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.

Please note that due to the high number of responses we receive, we are unable to provide feedback to all applicants. If you have not been contacted within 5-7 days, please assume that at this stage your application has been unsuccessful.

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.

• Model Development & Implementation : These tasks include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
• AI Solutions : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
• Data Analysis & Exploration : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
• 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’s objectives.
• Model Optimization : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
• Scalability & Performance : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
• 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.
• Reporting & Communication : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong proficiency in programming languages such as Python, R, or similar.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
• Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
• Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.

• Seniority level: Associate
• Employment type: Full-time
• Job function: Analyst and Research
• Industries: Broadcast Media Production and Distribution