Data Science Engineer

Overview

Develop, deploy, and optimize machine learning pipelines and data-driven applications.

Key Responsibilities

• ml pipelines
• data collaboration
• software testing
• performance optimization
• documentation

Tasks

-Train, validate and deploy machine learning pipelines -Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights -Test, troubleshoot, and enhance customer software applications with and on behalf of customers -Identify application performance bottlenecks and implement optimizations -Write application specifications, tutorials and documentation

Requirements

• python
• javascript
• git
• machine learning
• data visualization
• time-series

What You Bring

-Software development expertise in Python and JavaScript, with experience using Git or other version control systems. -Experience in data science methods, including statistical analysis, machine learning, and data visualization. -Experience identifying and resolving operational or data-related issues using documented procedures and prior case studies. -Experience making small-scale system and process improvements to enhance functionality and efficiency. -Experience in time-series data analysis, including cleansing and normalization, and experience with scalable Machine Learning (MapReduce, streaming). -Applied Machine Learning experience (regression, classification, supervised, and unsupervised learning) with a strong mathematical foundation in linear algebra, calculus, probability, and statistics. -Ability to drive projects independently and collaboratively, demonstrating a strong work ethic and commitment to organizational goals.

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About Quest Global

-By blending deep technical know‑how with digital innovation, it evolved into a global engineering partner. -Projects range from next‑gen automotive safety systems and AI‑driven semiconductors to cutting‑edge aerospace and defense platforms. -Its financial growth is steady—built on recurring partnerships with Fortune‑top‑10 clients across key sectors. -A hallmark project: sustaining global EMS/ADMS energy‑management software for a major utilities provider. -Another standout: accelerating MRI development and support globally for a leading MedTech firm. -Its edge lies in full‑lifecycle delivery—concept, design, embedded software, manufacturing support, digital sustenance. -Known for foresight, the firm not only solves challenges but anticipates and prevents them.

Sector Specialisms