35 R Programming jobs in Saudi Arabia

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

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

3 weeks ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Seniority level Mid-Senior level

• Employment type Full-time

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

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About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

Join to apply for the Senior Specialist - AI & Data Science role at Norconsult Telematics

Join to apply for the Senior Specialist - AI & Data Science role at Norconsult Telematics

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Job Posting location will be Riyadh, Saudi Arabia (on-site)

Position Objectives:

• Lead the development of scalable data pipelines and end-to-end AI/ML solutions, incorporating both traditional machine learning and Generative AI (LLMs, RAG, Agentic AI) to address real-world business challenges.
• Drive experimentation, explainability (SHAP, LIME), model deployment, and insight delivery in collaboration with cross-functional teams to produce measurable, stakeholder-aligned outcomes.

Job Descriptions & Responsibilities:

• Perform data exploration, profiling, cleaning, feature engineering, and statistical analysis to prepare high-quality datasets for modeling.
• Develop, fine-tune, and validate ML/DL models using Python (Scikit-learn, TensorFlow, PyTorch) and integrate Generative AI components like LLMs, prompt engineering, and RAG pipelines.
• Apply model explainability techniques (e.g., SHAP, LIME) to enhance transparency and trust in AI outputs.
• Contribute to the design of agentic AI workflows (e.g., reasoning loops, task orchestration via LangChain or AutoGen).
• Collaborate with cross-functional teams (AI, MLOps, Data, Applications) to align solutions with business needs and ensure smooth deployment.
• Support insight delivery through BI tools (e.g., Power BI), data storytelling, and stakeholder-focused presentations.
• Ensure timely delivery of prototypes, deployments, and iterations, while adapting to evolving tools and frameworks.
• Achieve quarterly benchmarks for validated models, reusable data pipelines, and impactful AI solutions using GenAI/Agentic AI.
• Drive stakeholder satisfaction by delivering actionable insights, accurate reports, and architecture walkthroughs.
• Exhibit strong communication, problem-solving, and time management skills while maintaining business empathy and customer focus.

Qualification & Experience:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Mathematics, or Engineering.
• 4+ years of hands-on experience in Data Science or AI/ML roles with proven model deployment.
• Strong foundation in machine learning, deep learning, statistical analysis, and Generative AI.
• Proficient in Python (NumPy, Pandas, Scikit-learn, Matplotlib, Transformers) and SQL.
• Experience with deep learning frameworks (TensorFlow, PyTorch) and GenAI libraries (Hugging Face, LangChain).
• Skilled in LLM fine-tuning, embedding models, RAG pipelines, and agentic AI workflows.
• Familiar with data storage optimization, low-latency model serving, and OpenShift AI platform concepts.
• Knowledge of BI tools (e.g., Power BI), data modeling, and storytelling for business insights.
• Relevant certifications/workshops in AI, ML/DL, or Cloud platforms (AWS, GCP, Azure) preferred.
• Language: English – mandatory; Arabic – an added advantage.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Design and Engineering
• Industries Information Services, IT Services and IT Consulting, and Telecommunications

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The KSPP is a newly established graduate school that offers master’s and executive education programs. The first cohort of master’s students commenced their graduate studies in the fall of 2024. Situated in the thriving capital city of Riyadh, Saudi Arabia, on the state-of-the-art KAPSARC campus, the KSPP is well-placed to offer students an exceptional educational experience.

The KSPP’s vision is to be a world-class education and research institution that prepares the next generation of public policy leaders and professionals within the Kingdom of Saudi Arabia and globally. To achieve this vision, the school is committed to providing high-quality educational programs and creating a bridge between academia, industry, and government. As the first public policy school in the Kingdom of Saudi Arabia, the KSPP is uniquely positioned to offer public policy degrees focusing on management and leadership, energy and climate policy, and data analytics. By providing concentrations in these areas, the school aims to help students develop the skills and knowledge necessary to address pressing policy challenges and make a meaningful impact in their communities and beyond.

The KAPSARC School of Public Policy (KSPP) invites applications for an Adjunct/Visiting faculty position in Data Science. We welcome candidates from any subfield of Data Science, including those with research interests that intersect with political science, decision science, and/or economics. The KSPP offers a highly competitive salary and benefits package, including children’s educational support, housing support, and premier health insurance.

Responsibilities:

• The successful candidate will be expected to carry out impactful research, teach courses related to the candidate’s research field, contribute to core courses and/or electives in public sector management and leadership, supervise capstone projects, and contribute to the overall academic environment of the School.

Qualifications:

• PhD or equivalent degree in Data Science or a similar discipline, with a strong record in teaching, research, and service.

Responsibilities

Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals

Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation

Lead the development, deployment and monitoring of Gen AI / ML models with a strong focus on MLOps, operational scalability and model lifecycle management

Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement

Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams

Ensure AI solutions are fair, explainable and aligned with responsible AI practices

Work closely with legal and compliance teams to navigate industry regulations

Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes

Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs / RFIs

Able to act as a diving force in developing and expanding the Middle East Practice footprint in partnership with the wider Data leadership teams

Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications

Strong understanding of AI / ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit

Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools

Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability

Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders

Familiarity with AI regulatory frameworks

Experience in pre-sales or supporting sales teams

Arabic speaking skills is an advantage

We offer

General Organization for Social Insurance (GOSI)

Private healthcare and life insurance

End of service gratuity

Annual air travel tickets for expatriates

Corporate Programs including Employee Referral Program with rewards

Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more

• All benefits and perks are subject to certain eligibility requirements

Requirements

Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics or a related field or extensive relevant work experience

Extensive experience in data science leadership roles with demonstrable impact across various industries.

Experience in IT consulting is highly desirable