Senior Data Scientist – Data Architecture & Governance

Automations · Full-time · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT

**About Nysonian
**Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world.

Our Fast-Growing Portfolio Includes:

• NOBL Travel — redefining modern travel with design, durability, and performance
• FLO Pilates — bringing Pilates into homes and wardrobes globally

With $350M+ in revenue, 400+ teammates across 8 countries, and 1M+ customers worldwide, we are shaping the brands that will define the next decade.

Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership

**The Opportunity
**We are looking for an experienced Senior Data Scientist to join and strengthen our existing data environment. The individual will work across multiple business verticals, including Operations, Finance, Marketing, Sales, Customer Support, eCommerce, and Travel Technology.

PostgreSQL is our primary and central database. Our wider technology environment also includes MongoDB, Supabase, Firebase, and AWS-hosted infrastructure.

The successful candidate will be responsible for understanding the existing architecture, improving how data is structured and exchanged between systems, and establishing company-wide protocols for data collection, storage, transformation, validation, access, security, and reporting.

This is an ownership-heavy position suited to someone who can operate effectively in a fast-paced, high-pressure environment. The individual must balance urgent business requirements with the long-term reliability, security, and scalability of the company’s data infrastructure.

**What You'll Own
**

PostgreSQL and Data Architecture

• Take ownership of the structure, integrity, and optimization of the company’s primary PostgreSQL database.
• Assess and document the existing architecture, database schemas, integrations, dependencies, and data flows.
• Design scalable PostgreSQL schemas, tables, views, materialized views, indexes, and analytical data models.
• Review and improve database performance through query optimization, indexing, partitioning, and appropriate data-modelling practices.
• Establish PostgreSQL as the governed source of truth for approved business entities and metrics.
• Define clear boundaries between PostgreSQL, MongoDB, Supabase, Firebase, and other connected systems.