341 Feature Engineering jobs in Saudi Arabia

Essential Functions
- Serves as the primary recipient of organization-wide Personnel Action Forms and Position Change Forms.
- Ensures the timely implementation of database changes to ensure accurate payrolls.
- Initiates, develops, and supervises the implementation of internal and external procedures for improving manual and automated processing of personnel reports.
- Works with HR staff to validate each request and the accurate completion or routing of each form based on HR processes.
- Acts as a resource and guide for managers as it relates to HR data and positions.
- Maintains impeccable records of change request approvals.
- Ensures the highest level of accuracy for data entered into HR data systems to ensure successful data audits.
- Acts as the initial escalation point for data corrections that are required in the PeopleSoft database; escalates further if necessary and executes approved corrections.
- Provides HCM data support for Human Resources staff, all associate end-users
- Plans and implements recordkeeping processes for permanent personnel records.
- Prepares HR metrics to be presented at monthly, quarterly, and annual senior leadership meetings.
- Creates standard or ad-hoc reports out of HCM and other HR data systems to ensure compliance with local, state, and federal reporting guidelines.
- Participate in the creation of new queries and reports as needed.
- Initiates technology service requests to revise or develop existing or new HCM modules for processing data, reports, or payments.
- Assists with the support of all aspects of Human Resources as it relates to data requests, including but not limited to data availability, feasibility of requests, ad-hoc reports, and technical support.
- Uses functional and technical knowledge to provide end-users with general guidance and informal training as needed.
- Assists with creating internal training tools and process manuals for staff to maximize effective use of the HCM system.
- Prepares and presents workshops to users to explain HCM requirements and system procedures.
- Supervises, evaluates, and directs work of assigned Human Resources support staff.
- Provides back-up for other functional areas of the Human Resources Department, including recruitment, operations, benefits, etc., as needed.

Job Requirements: Minimum Qualifications

Skills, Knowledge and Abilities
SKILLS are required to perform single, technical tasks with a potential need to upgrade skills in order to meet changing job conditions. Specific skill based competencies required to satisfactorily perform the functions of the job include: proficiency in Microsoft Excel at an expert level; applying
ABILITY is required to schedule activities and/or meetings; gather, collate, and/or classify data; query and formulate data to prepare reports as needed; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a wide diversity of individuals; work with a variety of data; and utilize job-related equipment. Specific ability based competencies required to satisfactorily perform the functions of the job include: establishing and maintaining effective working relationships; maintaining confidentiality; setting priorities; meeting deadlines and schedules; working with detailed information; and adapting to changing priorities; accuracy and attention to detail; communicating with diverse groups; working as part of a team.
Responsibility
Responsibilities include: working under limited supervision using standardized practices and/or methods; directing other persons within a small work unit; monitoring budget expenditures. Utilization of some resources from other work units is often required to perform the job functions. There is some opportunity to impact the organization’s services.

Experience: Five (3) years of direct experience managing and analyzing data, including data mining, reporting, high-volume data processing, and two (2) years of supervisory experience with technical staff. Experience in human resources and with Oracle/PeopleSoft systems strongly preferred.

Education: Bachelor’s degree with major coursework in information systems, computer science, data mining, or related field.

Equivalency: Any combination of education and experience equivalent to a bachelor’s degree with major coursework in information systems, computer science, data mining, or related field and five (3) years of direct experience managing and analyzing data, including data mining, reporting, high-volume data processing, and two (2) years of supervisory experience with technical staff. Experience in human resources and with Oracle/PeopleSoft systems strongly preferred.

Data Analysis and Visualization Facilitator (Consultant)

Join to apply for the Data Analysis and Visualization Facilitator (Consultant) role at The KPI Institute .

The KPI Institute is a leading global research institute specialized in business performance. It operates research programs in 14 practice domains, ranging from strategy and KPIs to employee performance and from customer service to innovation performance. You can learn more about us by visiting our website: Worldwide Performance Excellence Solutions | The KPI Institute.

Maentae is an educational hub aimed at supporting its customers in reaching their learning goals through various training programs that keep individuals updated with current trends and the fast-moving world of work.

Maentae is part of The KPI Institute, which specializes in business performance research across 12 practice domains, including strategy, KPIs, employee performance, customer service, and innovation.

Role Overview

We are seeking a dynamic and experienced Data Analysis and Visualization Trainer/Consultant to design and deliver high-quality training sessions for professionals seeking to enhance their data skills. The ideal candidate will have a strong background in data analytics, visualization tools, and adult learning methodologies. This role involves curriculum development, facilitation of training (in-person and/or online), and providing expert guidance on best practices in data analysis and communication.

Key Responsibilities

• Design and deliver interactive training programs focused on data analysis and visualization
• Develop training materials, practical exercises, and real-world case studies
• Provide hands-on instruction using tools such as Excel, Power BI, Tableau, Python (Pandas/Matplotlib/Seaborn), or R (ggplot2, Shiny), depending on client needs
• Customize content based on participant skill levels and organizational goals
• Assess participants’ progress and provide constructive feedback
• Support clients in building internal capacity for data-driven decision-making
• Stay updated with trends and advancements in data analytics and visualization

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field
• Proven experience delivering professional training or workshops in data analysis and visualization
• Proficiency in one or more data visualization tools (e.g., Tableau, Power BI, Looker) and programming languages (e.g., Python, R)
• Experience with data wrangling, dashboard design, and storytelling with data
• Strong communication and presentation skills
• Experience working with diverse learners and tailoring training to meet varied needs
• Having Data Analysis/Visualization Certification
• (Preferred) Experience in curriculum design and adult learning principles

Language

English or Arabic

What We Offer

• Competitive compensation based on experience and scope
• Flexible and remote work opportunities
• Opportunities to work on high-impact projects with diverse clients
• A collaborative and innovative learning environment
• Ongoing support for certification and professional growth

Application info required

• CV
• Cover letter

Contract/Engagement type: Freelance/Contractual

Starting date: To be discussed after an interview

Location: Hybrid

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Research Services

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**Careers that Change Lives**

Begin your life-long career of exploration, innovation, and championing healthcare access and equity for all. Join a healthcare technology company that alleviates pain, restores health, and extends life for more than two people every second.

You will play a key role in providing analytical support to our organization's data-driven initiatives supporting Supply Chain Command Center. This internship offers a unique opportunity to gain hands-on experience in data analysis, reporting, and decision support. You will work on real-world projects, collaborate with experienced data analysts, and contribute to the success of our data-driven initiatives.

**A Day in the Life**
- Assisting in collecting, cleaning, and organizing large datasets from various sources.
- Collaborating with the data analysis team to ensure data quality and accuracy.
- Supporting data analysts in conducting exploratory data analysis and generating actionable insights.
- Utilizing data analysis tools e.g Excel, Power BI.
- Creating visualizations and charts to effectively communicate data analysis results.
- Collaborate with team members to develop and enhance data dashboards.

**Must Haves**
- A bachelor’s degree and pursuing further university education in Healthcare Administration, Applied Health Sciences or related fields
- Proficiency in Arabic and English is required
- Based in Riyadh
- Basic understanding of data analysis concepts and methodologies
- Proficiency in Excel Strong analytical and problem-solving skills.

**Internship/ Program details**:

- Start date: March
- Duration: 6 months
- Based in Riyadh
- Working hours: 40 h/week with flexibility (exams and holiday period) Working model on-site

**We Offer**

We offer a competitive salary and benefits package to all our interns:

- Flexible working environment
- An unforgettable experience in the healthcare & medical devices sector
- Join a community or expert in a function or in a therapy to foster your knowledge
- Peer-Advisor program
- Training possibilities via Cornerstone & Skill Labs (access to Havard, Ted Ex.resources) Other benefits link to the country requirements

**Our commitment**

Our unwavering commitment to inclusion, diversity, and equity (ID&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute.

We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communities if we hope to have long-term sustainable impact.

Anchored in our Mission, we continue to drive ID&E forward both to enhance the well-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world.

**About Medtronic**

Bold thinking. Bolder actions. We are Medtronic.

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 90,000+ passionate people. Powered by our diverse knowledge, insatiable curiosity, and desire to help all those who need it, we deliver innovative technologies that transform the lives of two people every second, every hour, every day. Expect more from us as we empower insight-driven care, experiences that put people first, and better outcomes for our world.

In everything we do, we are **engineering the extraordinary.
**Your Answer

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

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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.

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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
  
  

Requirements

• 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
  
  

Preferable Certificates:

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

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

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

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**A Data Science Specialist** is meant to manage, analyze, and summarize the information innovatively, and we are looking for such an expert for our partner. The Data Since Specialist will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different models and analytical solutions.

**Responsibilities**:
**Policies, Processes & Procedures**
- Recommends improvements to departmental policy and directs the implementation of procedures and controls covering all areas of EBIA activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service to customers

**Day-to-day operations**
- Perform the day-to-day activities of the Modelling & Data mining department and ensure that work processes are implemented as designed and comply with established policies, processes, and procedures

**Modelling & Data Science Management**
- Work with organizational stakeholders to identify opportunities for leveraging company data to drive business solutions.
- Work with stakeholders to define their Business and strategy requirements and translate them into analytical and technical requirements.
- Mine and analyze data from company databases to optimize product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop the bank A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Conduct adequate research, analysis, and studies to leverage support and assistance from different departments and users.
- Develop, implement, and maintain Data mining models.
- Support all Customer Strategies and initiatives by providing insights for (Customer Intelligence - Marketing Optimization, Segmentation, Profiling, Loyalty, Retention, Profitability, and Risk Management for Basel II requirements, Credit Scorecard, AML, and Fraud Prevention).
- Participate in the mission of improving the data quality and EDW adoption
- Perform detailed data analysis on complex business questions using different sources of information and provide written or verbal reports to internal users to drive business decision-making and assess strategy performance
- Help internal users to set up analytical reports and dashboards that will meet their business requirements
- Participate in enhancing the adoption of Data mining initiatives in the Bank
- Provide guidance and consultancy on using Analytical and Data mining tools
- Deliver or participate in presentations on new products/services, ongoing process improvement efforts, and/or operational initiatives
- Collaborate with the Business Data Management team to adapt and improve processes and capabilities to meet business objectives, including database development initiatives
- Assess and validate data
- Examine overall customer behavior and, through analysis, provide recommendations to improve the customer experience.
- Participate in various stages of insight deployment related to customer communications, promotions, assortment, and pricing.
- Provide advice on campaign design, particularly the use of control groups, and produce post-analysis
- Guide to contact management.
- Guide use of the Customer Insight database with business users through ongoing communication and training
- Participate in maintaining the metadata dictionary’s contents and add new contributions to it. Help to develop meaningful metrics and targets and measure actual Bank results
- Train stakeholders and other members of the team on how to effectively access and use the analytical reports

**Communication and Transfer of Knowledge**
- Collaborates with the business units to gather their Modelling & Data mining requirements, understands their business objectives, and develops a close working relationship with them
- Ensure that gained knowledge is distributed among Data Mining team members as well as other BIM members whenever required.
- Assess and help team members leverage their knowledge to higher levels utilizing expert knowledge and available BI tools.

**Continuous Improvement**
- Contributes to the identification of opportunities for continuous improvement of processes and practices taking into account ‘international best practice’, improvement of business processes, cost reduction, and productivity improvement
- Explore new technologies and methods and improve the bank’s implemented models accordingly

**Reporting**
- Help internal users set up analytical reports and dashboards to meet their business requirements
- Train stakeholders and other members of the team on how to effectivel

Overview

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals


• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning


• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights


• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency


• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges


• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies


• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth


• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field


• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams


• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)


• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies


• Proven track record of successfully leading and delivering large-scale data science projects that drive business value


• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses


• Strong project management skills and ability to lead teams in a fast-paced environment


• Excellent analytical and strategic thinking skills, with a focus on results


• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates

• 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

Get notified about new Data Science Manager jobs in Riyadh, Riyadh, Saudi Arabia.

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• Lead DS (Data Scientist) Bangkok based, Relocation provided

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Adjunct/Visiting Faculty Position - Data Science

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:

1. 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:

1. PhD or equivalent degree in data science or similar discipline and strong teaching, research, and service record.

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