56 Data Mining jobs in Saudi Arabia
Big Data Engineer
Posted 5 days ago
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Job Description
iDataMind Data Systems is a DATA SCIENCE & AI consulting/training service provider that offers courses and services to help corporates develop their employee skills in Data Science and AI. Our experienced trainers/architects are dedicated to providing high-quality education and services in a supportive and engaging environment, allowing individuals to advance in their current data environments or explore new opportunities in Data Science & AI.
Role Description
This is a full-time hybrid role for a Big Data Engineer at iDataMind Data Systems. The Big Data Engineer will be responsible for tasks such as Data Engineering, Extract Transform Load (ETL), Big Data management, Data Warehousing, and Software Development. The role is based in Riyadh with the flexibility for some work from home.
Qualifications
- Data Engineering, ETL, and Big Data skills
- Data Warehousing and Software Development experience
- Strong analytical and problem-solving skills
- Experience with Data Science and AI technologies
- Knowledge of programming languages like Python, Java, or Scala
- Experience with cloud platforms like AWS or Azure is a plus
- Bachelor's degree in Computer Science, Engineering, or related field
- Entry level
- Full-time
- Engineering and Information Technology
- IT System Data Services
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Posted in Riyadh, Saudi Arabia 20 hours ago.
#J-18808-LjbffrBig Data / Analytics Project Manager (QAtar)
Posted today
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Job Description
Description
Join our growing team in Qatar!
You will report to the Regional Operations Manager in Doha and work closely with the Head of Project Management Office Middle East in Dubai. You will also experience working closely with the best analytics resources in the region, including BI consultants, developers, graphics designers and more to deliver best-in-class solutions to our tier 1 customers in Qatar and beyond. Your previous analytics technical development experience as well as Project Management responsibilities within a consultancy environment will help you succeed and grow your career!
**Responsibilities**:
Manage project lifecycle for multiple new projects in MENA region and create complete project plans and schedules using MS Project.
Work closely with Sales team to manage accounts and support with new business development initiatives.
Work closely with our customers to understand their problems, deliver quality solutions, and ensure that customer satisfaction remains high; stakeholder management at C levels.
Follow Project Management Institute methodology as well as internal Clariba PM process to ensure detailed tracking and communication of project progress from a task, time, schedule, and cost perspective.
Maintain accurate and up-to-date project plans enabling intelligent decision making by all stakeholders.
Identify risks and dependencies; escalate them to the Head of PMO if required.
Liaise and collaborate with internal teams to ensure that project finances, expenditures, and resources are correctly monitored and always forecasted.
Utilize policies, procedures, and business plan to make decisions in the best interest of Clariba.
Oversee technical consultants in Qatar and Middle East customer projects
**Requirements**:
Bachelor’s degree in Engineering or Information Technology field of study.
Experience working on or leading BI projects in the Gulf region.
Ideal experience includes at least 4 years in a progressive Business Intelligence career.
A proven track record for project initiation, planning, executing, controlling and closing on projects (with references).
A clear understanding of Business Intelligence solutions, licensing and architecture.
Experience working in a multicultural environment and relating with people from a variety of backgrounds and cultures.
Fluency in written and spoken English.
**Desirable Experience and Knowledge**:
PMP designation or working towards it.
ScrumMaster or Agile Certification.
Big Data/ai Lead Instructor (Onsite in Riyadh
Posted today
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Job Description
As an instructor in this position you will shadow, co-teach, and lead your own stack. This position includes training through more complex projects, on-line/on-site classroom support, teaching, lecturing, live demos and more. The position may include refining and creating courses to be released to Coding Dojo boot camp students.
**Responsibilities**
- Create the content/curriculum for the Data Science program
- Deliver instruction on big data, deep learning, machine learning, and AI
- Facilitate group discussions, demos, and in-class remote activities
- Follow industry trends for big data, deep learning, machine learning, and AI
- Play a hands-on role in curriculum development, use what you learn from working with students to make the curriculum world-class
- Gather and report on student metrics
- Work alongside Coding Dojo’s Online Instruction team to deliver remote training
- Participate in professional training to stay fresh
- Responsible for potential deployment with new or existing Coding Dojo clients with the ability to contextualize work based on client requests
**Core Competencies**
- Proficient understanding of distributed computing principles
- Management of Hadoop cluster, with all included services
- Ability to solve any ongoing issues with operating the cluster
- Proficiency with Hadoop v2, MapReduce, HDFS
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
- Experience with integration of data from multiple data sources
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of various ETL techniques and frameworks, such as Flume
- Experience with various messaging systems, such as Kafka or RabbitMQ
- Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
- Experience with Cloudera/MapR/Hortonworks
- Experience in teaching, mentoring, industry training, online/classroom instruction
- Excellent oral and written communications skills
**Minimum Requirements**
- Bachelor's degree in data science, engineering, mathematics, statistics, or related degree from an accredited college or university
- 3 years industry experience working in a Big Data/AI related role
- Reliable internet connection and equipment to perform all job duties
**Benefits**
- Once-in-a-lifetime chance to travel to Riyadh, Saudi Arabia
- All necessary travel expenses paid (plane ticket, living quarters, etc.)
- Excellent entry into portfolio/resume/CV
- Support from world class network of teaching staff
- Experience the technology and skills without the stress of actual development/engineering
- Be a part of the mission to diversify the tech industry
- Be on the cutting edge of new program development
- Work with students and staff from around the world
- Share your experience and knowledge with future generations
**About Coding Dojo**
Coding Dojo is a global education technology company that offers a three full-stack computer programming Bootcamp, as well as courses on Data Science and other emerging technologies. Our innovative curriculum and Learning Management System is designed to train students to become self-sufficient developers, regardless of their technical background. We also make it our mission to support underserved communities and increase diversity in the tech industry.
This position is a rare opportunity to join a rapidly growing company and make a positive impact in many people's lives. At Coding Dojo we pride ourselves on possessing a culture of execution that caters to wavemakers rather than wave riders. If you are interested in joining a diverse and dynamic team who values speed, continuous improvement, measurement, focus, accountability, and “attacking the gap”, you will feel right at home at Coding Dojo.
- The dojo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Coding Dojo is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities._
Data Science (Artificial Intelligence & Machine Learning) Consultant
Posted 7 days ago
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Job Description
Direct message the job poster from Plant.Digital
Senior Recruiter - @Plant.Digital A Company by Aramco & Honeywell.Job Summary:
We are seeking an experienced AI and ML Expert with a strong background in Generative AI, Python, and digital solution development to join our team. The ideal candidate will have a deep understanding of cutting-edge technologies, including open-source Large Language Models (LLMs) such as LLAMA, and expertise in creating digital solutions using popular python frameworks. The candidate will be responsible for designing, developing, and deploying innovative AI-powered solutions that leverage the capabilities of LLMs, vector stores, document ingestion, text embeddings, and other relevant technologies.
Key Responsibilities:
- Design and develop digital solutions using Generative AI, Python, and relevant frameworks (e.g., Streamlit, Flask, Django) to address complex business problems.
- Work with open-source LLMs such as LLAMA to develop and deploy AI-powered applications, including but not limited to: Text generation and summarization, Sentiment analysis and opinion mining, Question answering and dialogue systems, multi-agent framework and approaches.
- Develop and implement vector store solutions for efficient storage and retrieval of dense vector representations of text data.
- Design and implement document ingestion pipelines to process and index large volumes of text data.
- Create and deploy text embedding models to enable semantic search, clustering, and other NLP tasks.
- Collaborate with cross-functional teams to integrate AI-powered solutions with existing systems and infrastructure.
- Up to date with the latest advancements in Generative AI, LLMs, and relevant technologies.
- Develop and maintain high-quality, readable, and well-documented code, following best practices and standards.
- Participate in code reviews, ensure adherence to coding standards, and contribute to the improvement of the overall codebase.
- Have good understanding on DB systems and information retrieval.
Requirements:
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI and ML, with a focus on Generative AI, Python, and digital solution development.
- Expert-level proficiency in Python, with experience in popular libraries and frameworks such as: NumPy, pandas, and scikit-learn for data manipulation and analysis, TensorFlow, PyTorch, or Keras for deep learning, Streamlit, Flask, or Django for web development.
- Experience with open-source LLMs such as LLAMA, and a deep understanding of their capabilities and limitations.
- Strong knowledge of vector stores, document ingestion, text embeddings, and other relevant technologies for LLM-based solutions.
- Experience with cloud-based platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker)
- Excellent problem-solving skills, with the ability to break down complex problems into manageable components.
- Strong communication and collaboration skills, with experience working with cross-functional teams.
- Ability to work in a fast-paced environment, with a focus on delivering high-quality solutions on time.
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Manufacturing
- Industries Operations Consulting
Referrals increase your chances of interviewing at Plant.Digital by 2x
Sign in to set job alerts for “Data Science Specialist” roles.Dammam, Eastern, Saudi Arabia 1 month ago
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#J-18808-LjbffrData Science (Artificial Intelligence & Machine Learning) Consultant
Posted 7 days ago
Job Viewed
Job Description
Direct message the job poster from Plant.Digital
Senior Recruiter A Company by Aramco & Honeywell.Job Summary:
We are seeking an experienced AI and ML Expert with a strong background in Generative AI, Python, and digital solution development to join our team. The ideal candidate will have a deep understanding of cutting-edge technologies, including open-source Large Language Models (LLMs) such as LLAMA, and expertise in creating digital solutions using popular python frameworks. The candidate will be responsible for designing, developing, and deploying innovative AI-powered solutions that leverage the capabilities of LLMs, vector stores, document ingestion, text embeddings, and other relevant technologies.
Key Responsibilities:
- Design and develop digital solutions using Generative AI, Python, and relevant frameworks (e.g., Streamlit, Flask, Django) to address complex business problems.
- Work with open-source LLMs such as LLAMA to develop and deploy AI-powered applications, including but not limited to: Text generation and summarization, Sentiment analysis and opinion mining, Question answering and dialogue systems, multi-agent framework and approaches.
- Develop and implement vector store solutions for efficient storage and retrieval of dense vector representations of text data.
- Design and implement document ingestion pipelines to process and index large volumes of text data.
- Create and deploy text embedding models to enable semantic search, clustering, and other NLP tasks.
- Collaborate with cross-functional teams to integrate AI-powered solutions with existing systems and infrastructure.
- Up to date with the latest advancements in Generative AI, LLMs, and relevant technologies.
- Develop and maintain high-quality, readable, and well-documented code, following best practices and standards.
- Participate in code reviews, ensure adherence to coding standards, and contribute to the improvement of the overall codebase.
- Have good understanding on DB systems and information retrieval.
Requirements:
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI and ML, with a focus on Generative AI, Python, and digital solution development.
- Expert-level proficiency in Python, with experience in popular libraries and frameworks such as: NumPy, pandas, and scikit-learn for data manipulation and analysis, TensorFlow, PyTorch, or Keras for deep learning, Streamlit, Flask, or Django for web development.
- Experience with open-source LLMs such as LLAMA, and a deep understanding of their capabilities and limitations.
- Strong knowledge of vector stores, document ingestion, text embeddings, and other relevant technologies for LLM-based solutions.
- Experience with cloud-based platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker)
- Excellent problem-solving skills, with the ability to break down complex problems into manageable components.
- Strong communication and collaboration skills, with experience working with cross-functional teams.
- Ability to work in a fast-paced environment, with a focus on delivering high-quality solutions on time.
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Manufacturing
- Industries Operations Consulting
Referrals increase your chances of interviewing at Plant.Digital by 2x
Sign in to set job alerts for "Data Science Specialist" roles.Dammam, Eastern, Saudi Arabia 1 month ago
We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Data Science Specialist
Posted today
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Job Description
Job Description:
Leading the development and execution of advanced data science initiatives, collaborate across departments to identify data-driven opportunities, and ensure the scalability and efficiency of all data science solutions.
Responsibilities:
- Lead the design, development, and deployment of sophisticated data science models using IBM Cloud Pak for Data.
- Perform in-depth data analysis to extract actionable insights and identify key trends.
- Communicate complex findings and strategic recommendations effectively to stakeholders.
- Partner with the Data Engineering team to ensure high-quality, accessible, and reliable data infrastructure.
Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum of 5 years of experience in data science, machine learning, or a similar domain.
- Demonstrated success managing large-scale data projects, building predictive models, and deploying machine learning solutions.
- Strong ability to translate business requirements into effective data-driven strategies.
Data Science Manager
Posted 13 days ago
Job Viewed
Job Description
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
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Data Science Manager
Posted 13 days ago
Job Viewed
Job Description
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.
Data Science Manager
Posted 16 days ago
Job Viewed
Job Description
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.
Data Science Manager
Posted 16 days ago
Job Viewed
Job Description
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.
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