Senior Data Officer / Data Scientist

National Data &

Islamabad

Presencial

PKR 2 000 000 - 4 000 000

Tempo integral

Há 9 dias

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Resumo da oferta

National Data & Governance Systems invites applications for Senior Data Officer / Data Scientist to build predictive machine learning models, big data pipelines, and executive analytical dashboards.

The role requires 4–6 years of experience with Python, Spark, ML, and data governance, posting in Islamabad. The package is market-competitive within the Senior Technical Grade pay scale.

Qualificações

  • Educational qualification: Master's or BS in Data Science, Computer Science, Statistics, or Artificial Intelligence with 16 years education.
  • Minimum 4–6 years of experience building predictive ML models and big data analytics pipelines.

Responsabilidades

  • Develop predictive ML models in Python, design ETL data pipelines using Apache Spark, monitor data drift, enforce data governance standards, and present insights to corporate leadership.
  • Python Machine Learning, Apache Spark, Predictive Statistical Modeling, Data Lakehouse Architectures, SQL Optimization, Data Governance.

Conhecimentos

Python
Apache Spark
SQL
Data Governance
ETL Pipelines
Predictive Modeling
Big Data

Formação académica

MS/BS in Data Science/CS/Statistics/AI with 16 years education

Ferramentas

Python Machine Learning
Data Lakehouse

Descrição da oferta de emprego

SENIOR DATA OFFICER / DATA SCIENTIST

Active Prep Senior Technical Grade NDGS-DATA-2026-11 AD-NDGS-2026/11


Official recruitment notification, eligibility criteria, pay scale (Senior Technical Grade), quota allocation, and written screening test syllabus for SENIOR DATA OFFICER / DATA SCIENTIST in the National Data & Governance Systems.


Job Specifications & Posting Details

Case Number NDGS-DATA-2026-11


Pay Scale / BPS Senior Technical Grade


Department / Ministry National Data & Governance Systems


Total Positions 2 Posts


Job Type / Status Full Time / Permanent


Place of Posting Islamabad


Age Limit 26 - 40 years


Estimated Base Salary Package Market Competitive Package / Standard Pay Scale


Posting Date October 25, 2026


Apply Before November 12, 2026


Open Merit


Minimum Qualifications & Experience

Educational Qualification Master's or BS in Data Science, Computer Science, Statistics, or Artificial Intelligence with 16 years education


Prescribed Experience & Eligibility Criteria Minimum 04 to 06 years of experience building predictive machine learning models and big data analytics pipelines


Job Description & Position Overview

National Data & Governance Systems invites applications for Senior Data Officer / Data Scientist to build predictive machine learning models, big data pipelines, and executive analytical dashboards.



  • Develop predictive ML models in Python, design ETL data pipelines using Apache Spark, monitor data drift, enforce data governance standards, and present insights to corporate leadership.

  • Python Machine Learning, Apache Spark, Predictive Statistical Modeling, Data Lakehouse Architectures, SQL Optimization, Data Governance.


100 MCQs screening test comprising domain specialization, administrative governance, and English analytics.


An analytics consulting organization dedicated to implementing enterprise data lakes, automated predictive analytics, and data-driven governance solutions.


Job Aggregator & Publisher Disclaimer

Apex Rankers portal operates strictly as an educational content platform and aggregator of employment opportunities. Apex Rankers has no official relationship, partnership, or agency endorsement with National Data & Governance Systems or any publishing newspaper. For official validity, authenticity, fee schedules, eligibility verification, and application submissions, candidates must contact and apply directly through the concerned department, commission, or hiring company.


Official Timed Mock Test Anti-Cheat Proctored Real examination simulation & ranking


Simulate authentic exam conditions with real-time countdown, strict anti-cheating window monitors, weighted question distribution, and instant national leaderboard rankings.


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