Live opening · Posted 13 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Location: Riyadh, Saudi (Onsite)
Job Summary
We are seeking a Data Analyst / Data Scientist with strong 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 clear, 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.
Technical Skills
Experience working with healthcare data is preferred.
Strong 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 validation, feature engineering, and ML lifecycle (training, evaluation,
deployment).
Knowledge of statistical testing, regression, time-series, clustering, and classification
techniques.
Interested can reach us at saranyadevib@talentien.com/ +91 7305206696
Skills: python,big data,data science,machine learning
Work arrangement
No
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