Job Title: Data Science & Analytics Engineer
Experience: 3–11 Years
Location: Riyadh - Onsite
Employment Type: Full-Time
We are looking for a talented Data Science & Analytics Engineer with 3–11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
Key Responsibilities- Design, develop, and deploy predictive and analytical models to solve business problems.
- Perform data exploration, statistical analysis, feature engineering, and model evaluation.
- Build interactive dashboards, reports, and visualizations for business stakeholders.
- Develop scalable data analytics solutions using modern cloud and big data platforms.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Analyze structured and unstructured datasets to identify trends, patterns, and opportunities.
- Ensure data quality, governance, and best practices across analytics initiatives.
- Present analytical findings and recommendations to technical and non-technical audiences.
- Continuously improve analytics processes, reporting capabilities, and model performance.
- Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning.
- Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics.
- Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics.
- Experience developing end-to-end analytical workflows and model deployment.
- Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization.
- Ability to create interactive reports and executive-level dashboards.
- Experience with BigQuery or Snowflake for large-scale analytics and data warehousing.
- Strong understanding of SQL, data modeling, and analytical query optimization.
- Experience with statistical analysis, forecasting, classification, clustering, and regression models.
- Familiarity with machine learning libraries and model evaluation techniques.
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field.
- 3–11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics.
- Strong analytical, mathematical, and problem-solving skills.
- Excellent communication and presentation skills.
- Experience working in Agile/Scrum environments.
- Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform.
- Knowledge of MLOps, model deployment, and AI-driven analytics.
- Experience with ETL/ELT processes and data engineering concepts.
- Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage.
- Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.
- Programming Languages: Python or R
- Data Science Platforms: Databricks or Dataiku
- Business Intelligence: Power BI or Tableau or Looker
- Data Warehouse: BigQuery or Snowflake
- Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization
- Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred)
Skills Required
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, IT, or related field
- 3-11 years professional experience in Data Science, Business Analytics, or Advanced Analytics
- Proficiency in Python or R for data analysis and machine learning
- Experience with Databricks or Dataiku
- Experience with Power BI or Tableau or Looker for dashboarding and visualization
- Experience with BigQuery or Snowflake and strong SQL and data modeling skills
- Experience with statistical analysis, forecasting, classification, clustering, and regression models
- Experience developing end-to-end analytical workflows and model deployment
- Excellent communication and presentation skills; ability to present to technical and non-technical audiences
- Experience working in Agile/Scrum environments
- Experience with cloud analytics on AWS, Azure, or GCP
- Knowledge of MLOps, model deployment, ETL/ELT, and data engineering concepts
- Familiarity with Generative AI, LLMs, or AI-assisted analytics
- Relevant certifications in Data Science, Analytics, or Cloud technologies
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
