Senior Data Scientist
Turn a national platform's data into predictive models and hard evidence, from statistical insight and experimentation to machine learning that shapes real government services.
RQMNA builds the sovereign platforms that turn a nation's data into smarter, fairer government and enterprise services.
We are hiring a Senior Data Scientist, on site in Muscat, to turn the platform's data into models and insight that improve services for millions.
What you'll do:
Frame the problems, build the models, and prove what actually works, from raw data to production.
Key Responsibilities:
- Frame government and business problems as data science problems, and choose the right method for each
- Build, validate, and deploy predictive and statistical models: classification, regression, forecasting, clustering, and anomaly detection
- Design and run experiments and causal analysis, so decisions rest on evidence, not opinion
- Do deep exploratory analysis and feature engineering across a polyglot, multitenant data estate
- Apply geospatial, graph, and time series analytics to find patterns across citizens, entities, and events
- Partner with ML engineering to take models from notebook to production, with monitoring and retraining
- Combine classical machine learning with generative AI where it genuinely adds value
- Build in responsible AI, fairness, and explainability, and turn findings into clear recommendations for leadership
What makes you a fit:
- You have built models that made it into production and changed a real decision or service, not just notebooks
- You are strong in statistics and machine learning, and you know which method fits which problem
- You are fluent in Python or R and SQL, and the modern data science and ML stack
- You design experiments and reason about causality, not just correlation
- You communicate findings clearly, and you are honest about uncertainty and limitations
- Geospatial, graph, time series, or anomaly detection depth is highly valued for our domain
- You hold a Bachelor's or higher in Data Science, Statistics, Computer Science, or a related quantitative field; an advanced degree is a plus
- You care about responsible AI: fairness, bias, and explainability
- Fluent English required;
Arabic is a valuable advantage
If you would rather your models change real outcomes than sit in a notebook, build them here. Apply.
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