Senior Data Scientist – Data Architecture & Governance at Nysonian

Department: Automation

Location: Islamabad Capital Territory
Type: Full-time
Level: senior
Posted: Sep 2, 2026

Description

Nysonian is hiring a Senior Data Scientist focused on data architecture and governance to strengthen its PostgreSQL-centric data environment across operations, finance, marketing, sales, customer support, eCommerce, and travel technology. The role owns database design and optimization, ETL/ELT pipelines, integrations, data quality, governance, lineage, access controls, analytics, forecasting, and machine-learning capabilities, while collaborating with engineering, DevOps, business stakeholders, and executive leadership. The position is full-time and in-person in Islamabad, Pakistan, with a 6pm–2am PKT schedule.

Required Skills

PostgreSQL
SQL
Python
ETL/ELT
Data governance
Data quality
AWS
MongoDB
Supabase
Firebase

Additional Information

Minimum Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline
Required Previous Experiences: At least five years of professional experience in data science, analytics engineering, data engineering, or data architecture
Experience designing and optimizing PostgreSQL databases
Experience building and maintaining production-grade ETL/ELT pipelines
Experience integrating relational databases with APIs and third-party systems
Experience establishing data-governance, lineage, access-control, and quality-management processes
Experience working with AWS-hosted databases, applications, or data services
Preferred Qualifications: Experience in eCommerce, travel technology, warehousing, logistics, finance, or subscription businesses
Experience with Shopify, WMS platforms, CRM systems, accounting platforms, advertising platforms, or customer-support systems
Familiarity with dbt, Airflow, Dagster, Prefect, or equivalent transformation and orchestration tools
Experience with AWS services such as RDS, S3, Redshift, Glue, Lambda, CloudWatch, and IAM
Experience designing data warehouses or centralized analytical layers
Experience deploying and monitoring analytical or machine-learning models in production
Understanding of data privacy, security, auditability, and regulatory compliance
Experience working in an organization where systems and processes are rapidly evolving