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Broad analytics/ML skillset, mid-level experience band, and metro location increase applicant density.
Analytics and ML skills are broadly transferable across industries.
Multiple required technical platforms and an explicit experience band create moderate filtering.
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Design, develop, and deploy predictive and analytical models to solve business problems and support strategic decision-making.
Build interactive dashboards, reports, and visualizations to communicate findings to business stakeholders.
Develop scalable data analytics solutions on modern cloud and big data platforms ensuring data quality and governance.
3–11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics.
Proficiency in Python or R for data analysis, statistical modeling, and machine learning.
Experience with Databricks or Dataiku and Power BI or Tableau or Looker for analytics and visualization.
Onsite location requirement: Riyadh, Saudi Arabia.
Experienced in developing end-to-end analytical workflows and deploying models in production environments.
Strong knowledge of big data platforms such as BigQuery or Snowflake and SQL-based data modeling.
Able to translate complex business requirements into data-driven solutions and effectively present results to technical and non-technical audiences.