6 Data Scientist jobs in Oman

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

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

JOB PURPOSE

To lead advanced procurement data analytics and support the strategic planning of Local Content initiatives across OIA and its companies. This role identifies localization opportunities, enhances data-driven decision-making, and supports the integration of procurement insights into national Local Content programs. This role also contributes to platform enhancement, forecasting, and reporting frameworks using advanced tools and AI-based analysis.

ROLES AND RESPONSIBILITIES

• Analyze procurement plans and awarded tenders across OIA entities to identify Local Content Opportunities.

• Use data science tools to identify localization opportunities by category, supplier, and spend trend.

• Map high-potential sectors for ringfencing, SME participation, or local manufacturing.

• Collaborate with OIA Companies to validate insights and link findings to Local Content programs.

• Contribute to the development of Local Content Balanced Scorecards and dashboards using Local Content-related KPIs.

• Forecast Local Content value creation potential across short- and long-term plans using OIA’s modeling techniques.

• Use AI-driven tools to support trend analysis and predictive reporting.

• Prepare accurate, data-driven insights and visual reports for OIA’s senior leadership, stakeholders, and OIA’s forums.

• Assist in periodic reporting related to procurement-driven Local Content contributions and supplier development metrics.

• Monitor and report on Local Content compliance related to OIA’s relevant Local Content Policies.

• Evaluate and recommend new tools or enhancements to improve Local Content data integration and usability.

• Ensure the integration of procurement data with Local Content systems and dashboards.

• Develop templates and visual tools to improve the usability and clarity of analytics outputs.

• Ensure that data analysis and reporting align with Local Content relevant policies, and strategic priorities.

• Support audits and compliance reviews related to Local Content Implementations.

• Coordinate with Local Content, Procurement and strategy teams across OIA entities to gather accurate data and validate findings.

• Provide technical input during workshops, planning sessions, and Local Content review meetings.

• Contribute to the optimization of data processes, workflows, and visualization tools.

• Benchmark with leading practices in Local Content analytics, public procurement, and industrial planning.

• Provide strategic insights and scenario modeling to guide localization strategies and targets.

• Identify risks, gaps, and opportunities across procurement data sets that impact Local Content performance.

• Support capacity-building within OIA companies on data handling, reporting tools, and standard templates.

• Promote consistency in reporting practices across all OIA’s companies.

• Ensure the department complies with all applicable health, safety, and quality standards and promotes a safe working environment.

MINIMUM QUALIFICATIONS AND REQUIREMENTS

• Bachelor’s degree in Business Administration, Finance, Supply Chain Management, Engineering, or any other relevant field
• Local Content or Procurement related certification
• Minimum of 6 years of relevant experience
• (Minimum 3 years of experience in Local Content or any related field is preferred)

• Develop scalable machine learning models and algorithms to solve specific business problems
• Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
• Implement and optimize model deployment pipelines for production environments
• Evaluate model performance and iterate on designs to enhance accuracy and efficiency
• Research and stay current with the latest advancements in machine learning and artificial intelligence
• Document processes and communicate results effectively to stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 2+ years of experience in machine learning, data science, or related roles
• Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
• Experience in model evaluation metrics and techniques for model validation
• Strong problem-solving skills and the ability to work independently
• Excellent communication skills and a collaborative approach to work
• Passion for machine learning and eagerness to stay updated with industry trends
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

• Develop scalable machine learning models and algorithms to solve specific business problems
• Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
• Implement and optimize model deployment pipelines for production environments
• Evaluate model performance and iterate on designs to enhance accuracy and efficiency
• Research and stay current with the latest advancements in machine learning and artificial intelligence
• Document processes and communicate results effectively to stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 2+ years of experience in machine learning, data science, or related roles
• Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
• Experience in model evaluation metrics and techniques for model validation
• Strong problem-solving skills and the ability to work independently
• Excellent communication skills and a collaborative approach to work
• Passion for machine learning and eagerness to stay updated with industry trends
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

• Responsible for the sales data analysis of KA channels
• Through data analysis, identify the business issues of the KA channel in various countries and communicate with distributor and sales to find solutions.
• Responsible for coordinating the access of various products to KA channels in different countries and following up on sales performance.

• More than three years of working experience in the mobile phone or consumer electronics industry, with experience in Qatar or Oman preferred.
• Have experience in sales management of KA channels and familiar with the business model of KA channels.
• Proficient in using Excel software for data analysis.