Remote Data Scientist - Python & Advanced Analytics | US Client Network
Company: US Technical Staffing Client
Location: Islamabad, Pakistan
Employment Type: Contract (Remote / Flexible Hours)
Seniority Level: Mid-Level / Associate
Estimated Salary: PKR 180,000 - PKR 300,000 per month
Industry: Information Technology & Services
Company Overview
A prominent United States technology firm connecting top-tier global technical talent with data-driven research initiatives and large-scale public data analysis projects.
Key Responsibilities
Data Analysis & Modeling: Write clean, production-grade Python code to analyze public datasets and extract actionable business intelligence.
Peer Code Reviews: Conduct thorough code reviews to ensure scalability, optimization, and adherence to rigorous development frameworks.
Stakeholder Alignment: Communicate findings directly with international researchers and business stakeholders to keep project outcomes aligned.
Documentation: Develop clearly commented, clean, and well-structured data narratives using Jupyter notebooks.
Experience & Qualifications
- Bachelor’s degree or equivalent practical experience in Data Science, Statistics, Computer Science, or a quantitative field.
- Proven experience handling large public data infrastructures such as Kaggle, the United Nations portal, and Government open-source datasets.
- Exceptional verbal and written English communication skills suitable for an international client-facing environment.
- Self-motivated mindset capable of working independently on variable contract structures (ranging from 20 to 40 hours per week).
Technical Skills Required
Core Programming: Advanced Python development capabilities.
Analytics Stack: Extensive knowledge of Jupyter Notebooks, Pandas, NumPy, and related data processing libraries.
Core Practices: Technical peer review systems, version control, and data pipeline documentation.
How to Apply
To apply for this position, submit your application through the portal link below. Selected candidates will transition into a technical evaluation and assessment phase.