At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
Key Responsibilities
Data Preparation & Quality: Extract, clean, validate, and visualize structured and unstructured data from multiple platforms using Python, SQL, and related analytics tools; identify outliers and improve data reliability.
Exploratory Analysis & Problem Solving: Apply statistical analysis, hypothesis testing, and exploratory data analysis (EDA) to understand problem statements quickly, uncover patterns, and define meaningful business and cost metrics.
AI/ML Model Development: Design, build, test, and optimize machine learning models—including regression models, neural networks, and other predictive approaches—to estimate product part costs and identify cost reduction opportunities.
Software Engineering: Develop scalable, efficient, and reliable AI-powered applications in Python; write clean, maintainable code; participate in code reviews; debug issues; and continuously improve system performance.
Should-Costing & Cost Engineering: Support should-costing and design-to-cost analysis for both new product introduction (NPI) and legacy products, including buy-to-sell products and mechanical commodities such as machining, stamping, plastics, and casting.
Cross-Functional Collaboration: Work with Engineering, Product Sourcing, Operations, and other cross-functional teams during NPI, RFI, and RFQ phases to establish cost targets, influence negotiations, and identify cost reduction and cost avoidance opportunities.
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Process Improvement: Drive strategic projects involving tooling, NRE cost, process optimization, yield improvement, and Lean-oriented automation initiatives across the product lifecycle.
Communication & Enablement: Present technical findings clearly to non-technical stakeholders, support deployment of should-costing tools, and help drive adoption of standard best practices and training.
Required Technical Skills & Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mechanical Engineering, Industrial Engineering, Applied Mathematics, or a related field.
Knowledge in developing AI-powered applications using Python, with practical exposure to mechanical and/or electromechanical products.
Programming & AI/ML: Strong proficiency in Python and its libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras; sound knowledge of machine learning algorithms, regression analysis, and advanced AI/ML techniques.
Database & Tools: Strong SQL skills and Knowledge with databases such as SQL Server or MongoDB; familiarity with Visual Studio and data analysis or visualization tools is preferred.
Mechanical Domain Knowledge: Hands-on understanding of manufacturing and shop-floor processes involving stamping, fabrication, machining, injection molding, casting, or related mechanical commodities is a strong advantage.
Cost Engineering & Analytics: Knowledge in should-costing, design-to-cost analysis, cost modeling, and statistical data analysis, along with the ability to prepare cost projections and recommend economic design alternatives.
Core Capabilities: Excellent problem-solving ability, attention to detail, and the ability to work independently as well as collaboratively in a cross-functional team environment.
Preferred Skills & Professional Strengths
Business Acumen: Ability to connect data insights to financial outcomes, customer growth, product strategy, and cost optimization objectives.
Critical Thinking: Strong problem-solving skills and the ability to approach open-ended analyses with structure, independence, and sound judgment.
Communication & Influence: Strong written and verbal English communication skills, with confidence interacting with subject matter experts, stakeholders, and business executives.
Team Collaboration: Ability to work effectively with Engineering, Product Management, Product Sourcing, Operations, and cross-functional teams.
Mechanical Process Knowledge: Familiarity with progressive and inlay stamping, turning centers, machining centers, 5-axis and multi-spindle machining, thermoset and thermoplastic injection molding, rubber molding, insert molding, thermoforming, pressure die casting, and investment casting is a strong advantage.
Costing & Productivity Tools: Knowledge of costing tools such as Apriori, CAD tools, MS Office, and advanced Excel; knowledge with Excel automation is an added advantage.
Operational Excellence: Exposure to process automation, Lean concepts, and continuous improvement practices that enhance quality, efficiency, and yield.
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
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