Senior Data Scientist

NTG; Muscat; On-site; OMR 30,000 - 50,000; Full time

Job summary

NTG is seeking a Senior Data Scientist in Muscat to transform data into predictive models that enhance governmental services for millions.

This role involves framing business challenges as data science problems, building sophisticated models, and using evidence-based decisions to drive improvements. Candidates should be proficient in Python or R, with a solid knowledge of statistics and machine learning methods.

The position emphasizes responsible AI practices and offers an opportunity to make a tangible impact.

Qualifications

• Proven experience building models that influence decisions and services.
• Strong understanding of statistical methods and ML applications.
• Fluency in Python or R and SQL.

Responsibilities

• Frame problems as data science challenges and select methodologies.
• Build, validate, and deploy predictive models.
• Conduct experiments and causal analysis for decision-making.
• Perform exploratory analysis across multi-tenant data.
• Apply various analytical methods to find patterns.
• Collaborate with engineering to move models to production.

Skills

Machine Learning

Statistics

Python

SQL

Geospatial Analysis

Causal Analysis

Education

Bachelor's or higher in Data Science, Statistics, Computer Science, or related field

Job description

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.

#DataScience #MachineLearning #Statistics #GovTech #Hiring