12 R Programming jobs in Saudi Arabia

Join our team to teach and develop the web development curriculum for diploma students. You'll deliver engaging lectures, guide hands-on projects, and contribute to curriculum improvement.

Responsibilities
:

• Teach the software programming curriculum (front-end, back-end, databases, and frameworks).

• Lead labs, projects, and assessments.

• Update curriculum and integrate new technologies.

• Support students' learning and academic growth.

Requirements:

• Bachelor's in Computer Science, IT, or related field (Master's/PhD preferred).

• 3+ years of teaching experience in higher education.

• Curriculum development and instructional design experience.

• Strong knowledge of modern web programming languages and frameworks.

• Fluent in English; IELTS/TOEFL certification is a plus.

Full-time / part-time | Diploma Program

Send your CV to

1. Production Plans
Support the LP specialist & LP Engineer in developing the short-term and long-term plans:
a) Review of constraints
b) Review of inputs from operations/PED sections and coordination
c) Review pf price forecast from marketing& Sales
2. Performance monitoring
Carry out a vigilant performance monitoring for the company actual production vs. plan, monthly/daily scheduling targets vs optimum plan and monitor overall complex performance with respect to production, stream yields, stream qualities, capacities and provide estimate of opportunity gain/losses due to deviation
3. KPI monitoring of the section
Prepare reports on-time all relevant performance KPIs of the section (e.g. Overall complex availability, utilization, yields, specific consumption, plan vs. actual, etc.) against specific target or benchmark such Solomon to ensure progress toward planning goalsand targets.
4. Maintain Historical Operation Data recording
Maintain all the Historical Operation Data needed for the development of all relevant performance KPIs and metrics including datasuch as shutdown events detail, reasons, duration.
5. Product Quality Giveaway
Evaluate and review monthly product quality giveaway compared to target, prime product ratio and report any deviation from targetand provide recommendation.
6. Projects & Economics Evaluation
Carry out with LP specialist/engineers economics studies and reviews in case of new project, facility design change new grades, etc.to assure compatibility with existing facilities and identify any possible impact on existing operation, product quality and slateand verify the economic viability and provide recommendations to Petro Rabigh management.
7. Work Process Optimization
Review the department work instruction, procedures and internal control documents to ensure compliance with Company policies and procedures.

1. Bachelor Degree in Chemical Engineering

2.More than 10 years experience in a progressively responsible role in production planning in a similar industry.
3. Strong knowledge of Refinery and Petrochemical operation and economics.
4. Experience in using planning tools.

Application Deadline: April 19, 2025

Hiring Now: SAP Business One Functional & Technical Consultants – Riyadh, KSA

Company:
Tarig Abdoon Consulting (TAC)

Location:
Riyadh, Saudi Arabia

Engagement Type:
Project-Based Contract

Project Go-Live:
January 1st, 2026

Tarig Abdoon Consulting (TAC) is proud to lead a
strategic ERP transformation initiative
for a prominent
multi-branch Bread & Pastries company in Saudi Arabia
. The project involves a
complete migration from Odoo to SAP Business One
, covering Finance, Warehouse, and Supply Chain modules.

We are now looking for
highly qualified SAP Business One Functional and Technical Consultants
to join our delivery team and help us achieve a seamless Go-Live by the start of 2026.

About the Project

This is a
time-sensitive, full-cycle SAP Business One implementation
designed to replace an existing Odoo ERP. The scope includes:

• Full
  data migration
  (master and transactional) from Odoo to SAP B1
• Process redesign and standardization across Finance, Warehouse, and Supply Chain
• Development of custom reports, data validation tools, and end-user training
• Hypercare support post-Go-Live to ensure operational continuity

You'll be joining a
seasoned consulting team
with a clear project plan, structured methodology, and dedicated client-side participation.

Open Roles
SAP Business One Functional Consultant

Responsibilities:

• Conduct detailed process workshops with client teams (Finance, Warehouse, SCM)
• Configure SAP B1 modules according to business blueprint (FI, WM, Supply Chain)
• Support data mapping and validation between Odoo and SAP
• Lead UAT sessions and deliver end-user training
• Contribute to final Go-Live cutover and hypercare support

Requirements:

• SAP Business One certification (minimum FI, WM modules)
• Minimum 2–3 full-cycle SAP B1 implementations
• Solid industry experience in
  FMCG / Food & Beverage / Manufacturing
• Strong understanding of batch tracking, expiry management, and inter-branch stock transfers
• Excellent communication skills in English and Arabic

SAP Business One Technical Consultant

Responsibilities:

• Build and execute data migration from Odoo (Extraction, Transformation, Loading)
• Develop scripts using
  DI API, SDK, and DTW tools
• Customize SAP B1 forms and reports (Crystal Reports, SQL queries)
• Support integration requirements and ensure system performance optimization
• Work closely with the Functional team to validate data and resolve issues

Requirements:

• 3+ years of hands-on development with SAP B1 (SDK, DI API, LSMW)
• Proven success in
  data migration from Odoo or similar ERP platforms
• Strong experience in Crystal Reports, SQL, and system customization
• Knowledge of SAP HANA SQL
  and integration APIs is an advantage
• Bilingual (English/Arabic) preferred

Why Join This Project

• Be part of a
  high-impact ERP transformation
  in one of KSA's growing food industry leaders
• Work within a
  structured consulting framework
  led by an experienced project management team
• Gain hands-on exposure to
  data migration, process optimization, and cross-functional ERP delivery
• Competitive project-based engagement under Tarig Abdoon Consulting (TAC)

Start Date:
Immediate

Location:
Onsite / Riyadh, KSA

To Apply:
Please connect directly on LinkedIn or send your CV to
Tarig.-

• Let's deliver excellence — with precision, partnership, and performance.

SAP ABAP Developer – Remote Contract (Riyadh Based)

Location:
Remote (Riyadh-based project)

Duration:
4+ Months

We're seeking a
technically versatile SAP ABAP Developer
with
10+ years of experience
, especially in
cloud-based development
using
SAP BTP
and
Business Application Studio (BAS)
. This role involves working on intelligent enterprise innovations, including AI/ML integrations, Fiori apps, CDS Views, workflows, and CPI integrations.

Key Responsibilities

• ABAP Development & Enhancements:
  Build and optimize custom ABAP programs and enhancements.
• CDS View & OData Services:
  Develop annotated CDS views and OData services for Fiori and analytics.
• Fiori/UI5 Development:
  Create and extend Fiori apps using UI5, Smart Controls, and CDS/OData integration.
• Workflow Automation:
  Design and implement SAP workflows across modules.
• User Requirement Gathering:
  Collaborate with business users to translate functional needs into technical solutions.
• Documentation & Support:
  Maintain technical documentation and support deployment and post-production activities.
• IDoc Development & Support:
  Develop and troubleshoot IDocs as per business needs.
• CPI Integration:
  Handle data exchange with middleware platforms.

Required Skills & Qualifications

• Strong expertise in
  SAP ABAP
  , modular design, and performance tuning.
• Hands-on experience with
  SAP BTP
  and
  Business Application Studio (BAS)
  .
• Proven ability to develop and extend
  Fiori/UI5 applications
  .
• Familiarity with
  AI/ML integration
  within SAP (SAP AI Core or external frameworks is a plus).
• Proficient in
  CDS Views
  ,
  OData services
  , and
  workflow development
  .
• Skilled in
  functional requirement gathering
  , user engagement, and documentation.
• Bachelor's degree in computer science,
  Engineering
  , or related field.

Note:

This is a
remote opportunity
for a
4+ month contract-to-hire
.

Company Description

is a Saudi-based company at the forefront of the healthcare technology sector, specializing in advanced artificial intelligence. Our mission is to revolutionize healthcare by transforming standard Hospital Information Systems (HIS) and Electronic Health Records (EHR) into dynamic, intelligent systems. We provide real-time, evidence-based clinical support to align with the healthcare goals of Saudi Arabia's Vision 2030, enhancing patient outcomes and supporting medical professionals.

Role Description

This is a full-time online role for a Data Science Specialist located in Jeddah. The Data Science Specialist will be responsible for analyzing large datasets, developing statistical models, conducting data analysis, and utilizing data science techniques to extract insights. Day-to-day tasks include data analytics, developing data-driven solutions to improve patient outcomes, and collaborating with cross-functional teams to implement AI-driven healthcare solutions.

Qualifications

• Analytical Skills and Data Analysis skills
• Expertise in Data Science and Data Analytics
• Strong Statistics knowledge
• Proficient in programming languages such as Python or R
• Experience with machine learning algorithms and data visualization tools
• Excellent problem-solving and communication skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
• Experience in the healthcare industry is a plus

About 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 organisations, 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.

About The Role
We are seeking a
*Data Science Manager *
to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You'll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.

What You'll Do

• Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
• Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
• Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
• Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
• Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
• Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
• Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
• Attract, develop, and retain top data science talent.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
• Proven experience developing and deploying data science solutions in production environments.
• Broad knowledge of machine learning, statistical modeling, and data analysis.
• Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience working with large, real-world datasets (structured and unstructured).
• Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
• Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
• Proficiency in Arabic is preferred.
• Demonstrated ownership, collaboration, and commitment to excellence.

Benefits
*Why Mozn? *

• 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.

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 organisations, 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.

About the role

We are seeking a Data Science Manager to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You’ll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.

What you'll do

• Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
• Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
• Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
• Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
• Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
• Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
• Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
• Attract, develop, and retain top data science talent.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
• Proven experience developing and deploying data science solutions in production environments.
• Broad knowledge of machine learning, statistical modeling, and data analysis.
• Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience working with large, real-world datasets (structured and unstructured).
• Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
• Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
• Proficiency in Arabic is preferred.
• Demonstrated ownership, collaboration, and commitment to excellence.
• 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.

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 1-2 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

• Support and 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
  : Propose, design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
• Cross-Functional Collaboration
  : Work hand-in-hand with teams across the company to deeply understand their challenges and co-create solutions that leverage data

What You Bring

• 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
• Clear 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
• Willingness to keep an open mind and learn on the job

Why Join Us?

You'll be joining a leading FinTech that's growing quickly—and we believe data will play a critical role in that growth. As an early member of the data science team, you'll have the autonomy to explore, the support to execute, and the opportunity to shape how machine learning creates value across the organization.

What We Offer You
We believe you will love working at HALA

• 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

Role Purpose

To lead a team of data scientists within the Analytics Department in order to develop advanced machine learning models, deliver actionable insights through corporate reporting, and oversee the creation of predictive models, advanced analytics, and data visualizations within the set KPIs, agreed budgets, and adopted policies and procedures.

Responsibilities for Internal Candidates

Key Accountability Areas

Key Activities

Operational Management

• Lead, mentor, and develop a team of data scientists
• Actively participate in on-the-job training, mentoring and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing SANS's values
• Conduct regular performance reviews and provide coaching to team members
• Identify skill gaps and organize training programs to enhance team capabilities
• Provide recurring productivity reports on department progress and projects pipeline.
• Recruit, onboard, and retain top talent for the data science section

Budget Management

• Develop and manage budget and supporting business cases for the data science and reporting section including ML operations infrastructure.
• Justify budget requests to senior leadership by demonstrating the ROI of data science and analytics initiatives.
• Develop and negotiate contracts with tooling, infrastructure and service providers to optimize costs and service quality

Stakeholder and C-Suite Communication

• Generate and present regular operational and corporate performance insights and reports to senior leadership.
• Translate complex technical findings into actionable insights and strategic recommendations for non-technical audiences.
• Facilitate collaboration with IT and engineering stakeholders to ensure data science infrastructure needs are realized
• Build strong relationships with cross-functional teams to ensure alignment and collaboration on data-driven initiatives.
• Educate stakeholders on data science best practices.

Data science and ML products management

• Conducting discovery meetings to collect, analyze, clarify and document business requirements for data science and corporate reporting.
• Establish and monitor value metrics encompassing the full cycle of envisaged and developed data science products
• Continuously identify opportunities for data science products where value can be added to the business domain.
• Ensure that machine learning models and analytics solutions are scalable, reliable, and aligned with business needs.
• Manage advanced analytics workload including A/B and multivariate experiments, design and implement exploratory analysis and insight generation, all in close collaboration with partners across the Data management directorate and business groups.
• Collaborate with engineering and IT teams to integrate data science products into existing systems and workflows.
• Oversee the analysis of corporate and operational workstreams to provide periodic descriptive reporting and on-demand Diagnosis on key observed patterns for decision making purposes.
• lead the development efforts for provision of descriptive, predictive and diagnostic analysis for relevant constituencies.
• Develop strategy and roadmap for data science products while ensuring that defined path is consistent with the enterprise vision.
• Lead iterative data science products development process from idealization, through the implementation stage and all the way to the launch.
• Develop plans for ML models features/services delivery defining business goals, timelines, and roadmaps.
• Partner with business functions leads to proactively explore and overcome business problems through quantitative analytics levering established data science solutions.
• Support corporate planning and strategy functions in researching and analyzing industry operational and data related trends and developing market diligence periodically through quantitative reports and aggregation of relevant data from premium online/offline sources.
• Oversee the team's execution of key technical activities including: Data exploration and pre-processing, statistical analysis and modeling, features engineering, models evaluation, data visualization and communication, and collaborative problem solving

Engineering management

• Participate in planning and executing workload related to deploying and expanding ML models hosting platforms at the back-end and front-end service layers
• Lead the deployment and configuration of developed data science solutions.
• Oversee the ML models development workload cadence includes establishment of and sustenance of devOPS and CICD practices and cadence, while ensuring engineering standards, including version control, code reviews, and testing protocols are maintained
• Develop, manage, and maintain engineering plans related to data science workload; work closely with enterprise and operations engineering teams.
• Implement agile methodologies and project management frameworks to streamline team operations and improve delivery timelines.
• Manage technical debt by prioritizing refactoring, documentation, and process improvements.

Policies, Processes and Procedures

• Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures
• Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement

People Management

• Actively participate in on-the-job training, mentoring and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing SANS's values

Qualifications for Internal Candidates

Knowledge and Experience

• Minimum 6 years of experience in Data Science & Reporting, preferably leading and managing teams of data scientists and data analysts and budget management, resource allocation, and vendor negotiations.

Desirable:

• Referenced hands-on experience: team lead or unit manager/supervisor managing the operations and services of a data science team in a technology or engineering organization.
• Math / Quantitative skills: Skills with creating simulations, Erlangs theory for capacity planning, Hypothesis testing, Linear Regression, Logistic Regression, Outliers Detection, Linear Algebra with knowledge of Matrices attributes, knowledge and application of GLM (Generalized Linear Model)
• Strong scripting skills (e.g., Python, Bash) and knowledge of coding for creating automation scripts and integrating tools , and SQL/SPARK, JAVA/SCALA, Hadoop stack, C/C + for scripting/development on distributed/unstructured systems, and big data technologies such as Spark for handling and processing large datasets , and Python or PyTorch, Tensorflow, KERAS, Scikit-learn, XGBoost or similar stack for data manipulation, analysis, and data science modelling implementation.
• Familiarity or Ability to work with task management tools (JIRA, Microsoft Azure DevOPS boards), and Microsoft power platform , and hands on experience with popular SaaS services for database, developer and analytics (GCP, AWS or Azure)

Education and Certifications

• Bachelor's Degree in Computer Engineering, Data Science, Computer science, Cybersecurity, Statistics, Engineering or equivalent is required.