JOB DESCRIPTION
Role: Data Analyst / Data Scientist (Big Data)
Company: KGiS
Location: Riyadh, Saudi (Onsite)

Job Summary: We are seeking a Data Analyst / Data Scientist with robust big data experience to analyze large heterogeneous datasets, build statistical and ML models, and deliver actionable insights and dashboards. The role emphasizes analytics, modeling, and stakeholder-facing reporting while collaborating with data engineers for data access and pipeline needs.

Key Responsibilities

Analyze large-scale datasets to identify trends, drivers, anomalies, and business opportunities.

Design, develop, validate, and deploy statistical models and machine-learning solutions to solve business and clinical problems.

Prepare, clean, transform, and model data for analysis in collaboration with data engineering teams.

Build interactive dashboards, visualizations, and automated reports to support decision-making.

Conduct exploratory data analysis, A/B testing, cohort analyses, and predictive analytics.

Translate analytical findings into explicit,



actionable recommendations and present to stakeholders.

Ensure reproducibility by maintaining notebooks, pipelines, model artifacts, and documentation.

Implement monitoring for model performance and work with engineers to operationalize models.

Uphold data governance, privacy, and security standards for sensitive healthcare data.

Qualification and Experience
Bachelor’s or Master’s in Data Science, Statistics, Computer Science, Engineering, or related field.
5+ years of experience in data analysis, applied statistics, or data science on large datasets.
Experience working with healthcare data is preferred.

Technical Skills
Robust SQL and Python; R acceptable.
Experience with big data frameworks and querying large datasets.
Familiarity with data engineering tools (Azure Data Factory, ETL concepts) to collaborate effectively.
Experience building dashboards in Power BI or Tableau.
Experience with model validatio

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