16 Data Mining jobs in Oman

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Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

Company : Ridik CLPS

Job Description:

We are seeking a Senior Big Data Engineer with deep expertise in on-premises Big Data platforms, specifically the Cloudera ecosystem, and a strong background in the telecom domain. The ideal candidate will have 12-15 years of experience building and managing large-scale data lakes, developing batch and real-time pipelines, and working with distributed data systems in telecom environments.

While the primary focus is on on-premises Cloudera-based data lakes, familiarity with cloud data services (AWS, Azure, or GCP) is considered an added advantage.

Key Responsibilities:

• Design, build, and maintain on-premises data pipelines using Apache Spark, Hive, and Python on Cloudera.
• Develop real-time data ingestion workflows using Kafka, tailored for telecom datasets (e.g., usage logs, CDRs).
• Manage job orchestration and scheduling using Oozie, with data access enabled via Hue and secured through Ranger.
• Implement and manage data security policies (Kerberos, Ranger) to ensure compliance and controlled access.
• Develop and expose REST APIs for downstream integration and data access.
• Ensure performance tuning, resource optimization, and high availability of the Cloudera platform.
• Collaborate with data architects, engineers, and business stakeholders to deliver end-to-end solutions in a telecom context.
• Support data migration or integration efforts with cloud platforms where applicable is added advantage.

Required Skills & Experience:

• 12-15 years of experience in Big Data engineering, with hands-on focus on on-premises data lake environments.
• Extensive Telecom domain knowledge - including data models and pipelines related to CDRs, BSS/OSS, customer and network data.
• Strong practical experience with:
• Cloudera (CDH/CDP) components: Spark, Hive, HDFS, HBase, Impala
• Kafka: configuration, topic management, producer/consumer setup
• Python for data transformations and automation
• Access control and metadata management using Ranger
• Proficient in performance tuning, resource management, and security hardening of Big Data platforms.
• Experience with API development and integration for data services.
• Optional/Added Advantage: Exposure to cloud platforms (AWS EMR, Azure HDInsight, GCP Dataproc), hybrid architecture understanding.

Preferred Qualities:

• Strong problem-solving and troubleshooting skills in distributed data systems.
• Ability to work independently in a fast-paced project environment.
• Effective communicator with both technical and business teams.
• Experience in mentoring junior engineers or leading small technical teams is a plus.

About CLPS RiDiK

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Telecommunications

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Big Data Expert – Cloudera & Cloud Platforms

Company : Ridik CLPS

Job Description:

We are looking for a Senior Big Data Engineer with 12–15 years of experience in building and managing large-scale on-premises data lakes using the Cloudera ecosystem , particularly within the telecom domain . The role involves developing batch and real-time pipelines, optimizing distributed data systems, and ensuring secure, high-performance data infrastructure.

Key Responsibilities:

• Design and maintain pipelines using Spark, Hive, Python on Cloudera .
• Develop real-time ingestion workflows with Kafka (e.g., CDRs, usage logs).
• Manage orchestration with Oozie , access control with Ranger , and APIs for downstream integration.
• Ensure security compliance (Kerberos, Ranger), performance tuning, and resource optimization.
• Collaborate with cross-functional teams to deliver telecom-focused data solutions.
• Exposure to cloud migration/integration (AWS, Azure, GCP) is a plus.

Requirements:

• 12–15 years in Big Data Engineering with strong Cloudera expertise.
• Deep telecom domain knowledge (CDRs, OSS/BSS, network data).
• Hands-on with Kafka, Python, Hive, HDFS, HBase, Oozie, Impala .
• Skilled in data security, orchestration, and performance optimization.
• Cloud experience is an added advantage.

About CLPS RiDiK:

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

Big Data Expert - Cloudera & Cloud Platforms

Company : Ridik CLPS

Job Description:

We are looking for a Senior Big Data Engineer with 12-15 years of experience in building and managing large-scale on-premises data lakes using the Cloudera ecosystem , particularly within the telecom domain . The role involves developing batch and real-time pipelines, optimizing distributed data systems, and ensuring secure, high-performance data infrastructure.

Key Responsibilities:

• Design and maintain pipelines using Spark, Hive, Python on Cloudera .
• Develop real-time ingestion workflows with Kafka (e.g., CDRs, usage logs).
• Manage orchestration with Oozie , access control with Ranger , and APIs for downstream integration.
• Ensure security compliance (Kerberos, Ranger), performance tuning, and resource optimization.
• Collaborate with cross-functional teams to deliver telecom-focused data solutions.
• Exposure to cloud migration/integration (AWS, Azure, GCP) is a plus.

Requirements:

• 12-15 years in Big Data Engineering with strong Cloudera expertise.
• Deep telecom domain knowledge (CDRs, OSS/BSS, network data).
• Hands-on with Kafka, Python, Hive, HDFS, HBase, Oozie, Impala .
• Skilled in data security, orchestration, and performance optimization.
• Cloud experience is an added advantage.

About CLPS RiDiK:

RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ: CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will oversee 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.

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

1. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
2. Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
3. Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
4. Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
5. Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
6. Excellent project management skills and ability to prioritize tasks in a fast-paced environment
7. Strong analytical and problem-solving skills with attention to detail
8. Exceptional communication skills, both verbal and written, in English and Arabic
9. 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

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

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.

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

Role purpose:

Vodafone is Oman’s latest Network Operator. The presence of Vodafone in Oman will contribute to the development of all sectors, including the economic and educational sectors, and in line with Oman Vision 2040.

Our purpose is to ‘Connect for a Better Future’ which underpins everything we do. Our solutions will positively impact society as we connect everyone in Oman for a better future. We offer market-leading customer experiences and innovative digital services.

We are looking for energetic self-starters to work in this 100% Omani owned, positive, collaborative start-up environment, where key talents will create Oman’s happiest workplace. We seek individuals with an entrepreneurial mindset who thrive on challenges and change and who want to positively impact the lives of our customers and the people of Oman.

A Data Science Engineer manages large volumes of data and enables Vodafone to improve Customer Experience & business decisions. The role involves participating in the data lifecycle, including data collection, cleansing, integration, analysis, modeling with machine learning algorithms, visualization, interpretation of models and results, and reporting.

Key accountabilities and decision ownership:

• Execute statistical methods to solve specific business problems.
• Develop new data sources, test model enhancements, and fine-tune model parameters to improve methodologies.
• Design and develop automated forecasting systems.
• Construct customer-facing reporting tools to provide insights and metrics that track forecasts.
• Ensure models are well-developed, tested, trained, and implemented.
• Maintain the integrity and dependability of data for analytical purposes through processing, cleansing, and verification.
• Select features for data extraction, including constructing and optimizing classifiers using machine learning methods.
• Explore internally and externally sourced data to uncover insights and correlations.
• Manage data for constructing analytical systems.
• Support the adoption of data science and analytics across the organization, including at managerial, executive, and operational levels.
• Handle Data Lifecycle & Quality Assurance, including data collection, cleansing, integration, and validation across logs, Data Lake, Hadoop, and Greenplum environments.
• Ensure end-to-end data flow reliability with checkpoints, retries, and alerting via Prometheus/Grafana.
• Develop custom connectors, schema migrations, and housekeeping tasks.

Core competencies, knowledge, and experience:

• Strong data analytics skills.
• Ability to translate data into insights that identify opportunities and threats.
• Ability to work independently.
• Good understanding of industry standards & best practices like ITIL, eTOM, ISO 2000, and ISO 27001.
• Experience with defining and implementing key operational processes in process management tools, such as event, incident, change, problem, and service management in the telecom industry.
• Good understanding of Service Management and Service KPIs/KQIs.

Key performance indicators:

• Data discovery.
• Recommendations made.
• Near real-time customer experience tracking & monitoring dashboards & reports.
• Financial value generated.

Must-have technical / professional qualifications:

• Bachelor’s degree in engineering or information technology from a recognized university or equivalent.
• At least 3 years of experience in similar technology operations, managed services environments, or DevOps environments.
• Proficiency in Python, Scala, SQL.

• Bachelor's degree in Computer Science or a related field.
• 1-2 years of experience in data analysis or data engineering.

Skills / Knowledge:

• Familiarity with programming languages like Python, R, or SQL.
• Solid understanding of statistical and machine learning concepts.
• Strong problem-solving and analytical skills.
• Excellent data visualization and presentation skills.
• Excellent communication and technical documentation abilities.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively and learn quickly.
• Well-developed interpersonal skills and excellent communications skills in English.
• Respect & Integrity
• Problem Solving & Decision Making

The Junior Data Science Engineer supports data analysis projects by building and maintaining models, pipelines, and tools under the guidance of senior team members.

• Assist in designing, developing, and implementing advanced data models and predictive analytics to solve business problems and drive decision-making.
• Build, maintain, and optimize scalable and efficient data pipelines to facilitate seamless data integration and processing across the organization.
• Conduct comprehensive exploratory data analysis to uncover insights, trends, and patterns, and present findings in a clear and actionable manner.
• Support the implementation and optimization of machine learning algorithms, ensuring they meet performance, accuracy, and scalability requirements.
• Work closely with cross-functional teams, including business stakeholders and senior data scientists, to understand requirements and deliver tailored data-driven solutions.
• Develop and maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and transparency.
• Prepare detailed reports and dashboards to communicate insights and progress to stakeholders.
• Stay up-to-date with emerging trends, tools, and methodologies in data science and analytics.
• Actively contribute to improving teamwork flows and adopting innovative approaches to solving challenges.

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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 Engineering and Information Technology
• Industries Household Services

Referrals increase your chances of interviewing at Greenfix Property Care by 2x

Get notified about new Data Science Manager jobs in Oman .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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.

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