Data Scientist / Advanced Analytics Consultant + Years Experience📣 Job Ad

About the Role

Datamatics Technologies is seeking a Data Scientist / Advanced Analytics Consultant to join our team in Riyadh, Saudi Arabia. This full-time position involves delivering advanced analytics, statistical modeling, machine learning, and business intelligence solutions. The role is designed for professionals across multiple experience levels, from Associate to Principal, contributing to strategic and operational decision-making.

Role Scope and Impact

The successful candidate will transform complex datasets into actionable insights, focusing on predictive analytics, customer behavior analysis, product analytics, and user journey optimization. This includes digital interface friction analysis, experimentation, and product conversion funnel optimization. The role leverages modern analytics platforms, visualization tools, and machine learning technologies to drive business outcomes.

Core Responsibilities

• Apply statistical analysis, predictive modeling, and machine learning techniques to solve business problems.
• Analyze structured and unstructured datasets to identify trends, patterns, and opportunities.
• Design and develop predictive, classification, clustering, and forecasting models.
• Build dashboards and interactive reports to communicate analytical insights.
• Perform user behavior analysis, customer segmentation, churn prediction, and conversion optimization.
• Analyze digital interface friction and customer journeys using product analytics platforms.
• Implement and validate client-side and server-side event tracking strategies, including designing event taxonomies and data layers.
• Develop A/B testing frameworks and measure experiment outcomes.
• Collaborate with business stakeholders, product teams, data engineers, and software developers.
• Validate data quality, statistical assumptions, and model performance.
• Produce clear documentation for analytical models, business insights, and reporting methodologies.
• Follow data governance, privacy, and Responsible AI best practices.

Career Progression and Tiered Contributions

This role offers a structured career path across five tiers (T1-T5), accommodating varying levels of experience and expertise:

• T1 – Associate Data Scientist (0–2 Years): Focus on learning, data exploration, and analytical execution under supervision.
• T2 – Data Scientist (2–4 Years): Independent analytical delivery, developing predictive models and implementing event tracking.
• T3 – Senior Data Scientist (5–7 Years): Solution ownership and advanced analytics, leading initiatives and mentoring junior team members.
• T4 – Lead Data Scientist / Advanced Analytics Lead (8–11 Years): Technical leadership, defining analytics architecture, and driving enterprise-wide initiatives.
• T5 – Principal Data Scientist / Analytics Architect (12+ Years): Enterprise analytics strategy, innovation, architecture ownership, and advising executive leadership.

Qualifications and Expected Deliverables

Candidates should possess a strong foundation in data science principles and demonstrate the ability to produce high-quality analytical outputs.

• Qualifications: Strong knowledge of statistical modeling, machine learning, predictive analytics, and experimentation techniques. Experience with cloud data platforms, product analytics tools, and modern BI solutions. Understanding of digital analytics, event instrumentation, customer journey analytics, and conversion optimization. Excellent analytical thinking, communication, stakeholder management, and problem-solving skills. Ability to work in Agile, cross-functional, and enterprise-scale environments.
• Expected Deliverables: Analytical Model Documentation, Statistical Analysis Reports, Predictive Models with Performance Metrics, Business Intelligence Dashboards, Data Visualization Reports, User Behavior Tracking Frameworks, Product Conversion Funnel Analysis, Digital Interface Friction Analysis Reports, Cross-Platform Product Event-Tagging Validation Schemas, Customer Segmentation & Experimentation Reports, and Executive Analytics Presentations.

Work Environment

This is a full-time position based in Riyadh, Saudi Arabia, within a dynamic and collaborative environment focused on advanced analytics and data-driven solutions.