46 Data Scientist jobs in Riyadh

• 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

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.

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

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

Join to apply for the Data Scientist role at Mozn

Mozn is a rapidly growing technology firm revolutionising 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 AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

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.

To analyze large and complex datasets using statistical methods and machine learning algorithms, deriving valuable insights that support strategic decision-making and enhance organizational performance.

Key Responsibilities:

• Collect, clean, and prepare data from various internal and external sources.
• Design and build predictive models using Machine Learning and AI techniques.
• Apply advanced statistical analysis to discover hidden patterns and relationships.
• Develop interactive dashboards and reports using Business Intelligence tools (Power BI, Tableau).
• Collaborate with cross-functional teams (IT, Development, Business) to translate needs into analytical solutions.
• Monitor, validate, and continuously improve model performance.
• Present findings and provide actionable recommendations to senior management.
• Stay up to date with the latest trends in data science and emerging technologies.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Minimum of 3 years of professional experience in data analysis, data science, or predictive modeling.
• Proficiency in programming languages (Python, R, SQL).
• Knowledge of Big Data tools (Hadoop, Spark) is a plus.
• Strong skills in data visualization and reporting.
• Excellent analytical thinking and problem-solving abilities.
• Strong communication skills and ability to work in a team environment.

Core Skills:

• Statistical Data Analysis
• Machine Learning & Artificial Intelligence
• Database Management (SQL/NoSQL)
• Data Interpretation & Storytelling for Non-Technical Stakeholders

• Mid-Senior level

• Full-time

• Science and Consulting

• IT Services and IT Consulting

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.

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

Dans le cadre du développement de notre pôle partenaire ServiceNow, nous recherchons un(e) consultant(e) avant-vente capable de participer activement au développement de notre offre. Directement rattaché(e) à la direction Devoteam N Platform France, vous jouerez un rôle clé dans la construction de la stratégie de transformation digitale de nos clients. Vous mobiliserez votre expertise sur la plateforme ServiceNow pour identifier les leviers de valeur, concevoir des solutions sur mesure et porter l’excellence de Devoteam dans les phases d’avant-vente.

Vos missions principales incluent :

• L’élaboration des solutions dès la détection du besoin client jusqu’à l’appel d'offres;
• L’analyse et qualification des affaires détectées;
• Le pilotage (bid management) des affaires complexes, orchestration des contributeurs;
• L’élaboration des propositions techniques et commerciales;
• L’accompagnement au “closing” des affaires;
• La participation aux rendez-vous stratégiques “C” level ou clés, au plan de lobbying;
• La promotion de l’offre Devoteam avec l’équipe marketing;
• La contribution globale au plan de compte et à la stratégie commerciale;

Pour réussir ces défis, vous serez amené(e) à travailler en étroite collaboration avec l'équipe commerciale et de delivery;

En tant que partenaire Elite de ServiceNow, nous vous proposons une formation complète à la solution et les certifications associées.

Missions principales

Pilotage technique et stratégique des practices IAM, GRC, Cloud Security et SecDevOps

Définition de la roadmap technologique des offres et alignement avec la stratégie du groupe

Encadrement et accompagnement des consultants : montée en compétences, mentoring, community management, certifications

Contribution active aux avant-ventes complexes (AVV) et soutien aux équipes commerciales

Veille technologique et sélection des solutions/outils de référence à intégrer dans notre portefeuille

Représentation technique externe (conférences, clients stratégiques, partenaires éditeurs)

Développement de la notoriété et de la marque technique (livres blancs, tribunes, webinars…)

Dans le cadre de notre développement, nous recherchons un Consultant DevOps pour rejoindre notre équipe à Marseille. Vous serez un acteur clé de la transformation digitale de nos clients en assurant la mise en place, l'optimisation et la gestion des processus DevOps.

Missions principales :

• Automatisation des processus : Vous serez responsable de l'automatisation des tâches et des déploiements dans un environnement cloud (AWS, Azure, GCP).
• Mise en place de pipelines CI/CD : Vous participerez à la conception, au développement et à l'optimisation de pipelines de déploiement continu afin de garantir une livraison rapide et fiable des applications.
• Gestion des infrastructures : Vous interviendrez sur l'infrastructure en tant que code (IaC) en utilisant des outils comme Terraform, Ansible ou CloudFormation.
• Collaboration avec les équipes techniques : Vous travaillerez en étroite collaboration avec les développeurs, les architectes et les équipes opérationnelles pour améliorer les performances, la sécurité et la stabilité des applications.
• Suivi et surveillance : Vous mettrez en place des outils de monitoring et de logging pour assurer une visibilité maximale sur les systèmes en production.
• Linux Fundamentals (Red Hat)

Nous renforçons notre entité Network Security, laquelle est uniquement dédiée à l’ensemble des métiers Réseau, Sécurité et Sécurité des Réseaux.au sein de Devoteam Cyber Trust.

Intégrer notre équipe, c’est partager notre expertise auprès de nos clients faisant partie principalement du CAC 40 (secteur bancaire, assurance, finance, énergie, industrie.).

Nous intervenons sur la stratégie d’évolution, l’intégration mais aussi sur l’architecture des réseaux d’entreprise. Nos consultants peuvent intervenir également sur la sécurisation des infrastructures et le pilotage de de ces projets.

Nous rejoindre, c'est évoluer dans une entité de taille humaine, qui vous accompagne dans le développement de votre carrière avec des parcours de formation et de certification adaptés, ainsi que de participer à différentes activités et événements afin de fédérer nos consultants.

En tant que Chef de Projet Réseau, vous aurez pour mission de :

• Suivre de projet sur un périmètre mondial, gestion de planning, coordination opérationnelle
• Effectuer les études de faisabilité sur les différentes infrastructures (charges, planning, listing d’équipement.)
• Assurer la coordination et la communication entre le client, les fournisseurs et les équipes techniques.
• Être le garant de la coordination de la réalisation des études, avec les différents acteurs techniques en interne.
• Établir un suivi sur les livrables attendus (reporting hebdomadaire, compte-rendu de réunion, dossiers d'études techniques, documents de pilotage de projet).
• Rédiger des études techniques avant le lancement des projets.
• Mettre en place les structures du projet et ses règles de fonctionnement (configuration,paramétrage…).
• Aider à la montée en compétence des équipes locales
• S’assurer de la bonne prise en compte des besoins des Productions par les équipes IT
• S’assurer de la cohérence, de la sécurité et la standardisation des solutions fournies

Notre équipe lyonnaise n'attend que vous pour relever de nouveaux défis autour de grands projets de transformation IT et à dimension internationale.

Immergé(e) au cœur des équipes informatiques, en tant qu'Architecte d’Entreprise, vous disposez de la vue la plus globale de l’organisation et de la meilleure connaissance des capacités métier. Vos responsabilités sont :

De contribuer au cadrage des initiatives de transformation du système d’information,

D’accompagner la mise en œuvre des recommandations et de fournir vos préconisations sur les solutions techniques envisagées.

De participer à la définition des standards technologiques et des best practices d’architecture,

De fournir différents livrables, variants selon les projets, tels que : des dossiers d’architecture générale versionnés, des dossiers de cadrage pour les nouveaux choix à réaliser, la formalisation des contrats d’interface et de toute documentation utile pour la suite du projet.

Notre équipe lyonnaise n'attend que vous pour relever de nouveaux défis autour de grands projets de transformation IT et à dimension internationale.