Data Scientist / Advanced Analytics Consultant - 0–12+ Years Experience
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Key skills for this role
About the Role
Datamatics Technologies seeks Data Scientists and Advanced Analytics Consultants across multiple experience levels (0–12+ years) to deliver analytics, machine learning, and BI solutions in Riyadh.
Key Skills for This Role
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
- Design event taxonomies, data layers, and product analytics instrumentation
- 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
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, AI, Economics, Engineering, or related field
- 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
Full Job Posting
Job Summary
- Seeking Data Scientists and Advanced Analytics Consultants across multiple experience levels (T1–T5)
- Deliver advanced analytics, statistical modeling, machine learning, and business intelligence solutions
- Transform complex datasets into actionable insights that drive strategic and operational decision making
- Role covers predictive analytics, customer behavior analysis, product analytics, user journey optimization, digital interface friction analysis, experimentation, and product conversion funnel optimization
Key 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
- Design event taxonomies, data layers, and product analytics instrumentation
- 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
Required Technical Skills
- Python (Pandas, NumPy, SciPy, scikit learn)
- R
- Databricks or Dataiku
- BigQuery or Snowflake
- Power BI or Tableau or Looker
- Google Analytics 4 or Mixpanel or Amplitude
- Client side Event Tracking, Server side Event Tracking, Data Layer Tag Management, Product Event Instrumentation
- Regression, Classification, Clustering, Time Series Forecasting, Statistical Modeling
- SQL, Data Visualization, A/B Testing, Experiment Design, Customer Analytics, Product Analytics
Responsibilities by Tier
- T1 – Associate Data Scientist (0–2 Years): Learning, data exploration, analytical execution under supervision
- T2 – Data Scientist (2–4 Years): Independent analytical delivery
- T3 – Senior Data Scientist (5–7 Years): Solution ownership and advanced analytics
- T4 – Lead Data Scientist / Advanced Analytics Lead (8–11 Years): Technical leadership and enterprise analytics delivery
- T5 – Principal Data Scientist / Analytics Architect (12+ Years): Enterprise analytics strategy, innovation, and architecture
Preferred Certifications
- Google Professional Data Engineer
- Databricks Certified Professional
- Tableau Desktop Certified Professional
- DataCamp or Coursera Data Science Certifications
- Google Analytics Certification
- Mixpanel Certified Professional
- Amplitude Product Analytics Certification
- Equivalent industry recognized Data Science or Analytics certifications
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
- Executive Analytics Presentations
Preferred Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Artificial Intelligence, Economics, Engineering, or a related field
- 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
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