Applied Scientist Lead - Machine Learning & Data Science (KR)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are looking for a passionate and talented Machine Learning & Data Science Applied Scientist Lead who will collaborate with other scientists and engineers to leverage AI, Machine Learning (ML), and optimization methods to solve diverse problems in manufacturing and other industries. As a Gaussian Machine Learning & Data Science Applied Scientist Lead, you will design and run experiments, develop new algorithms, and find new ways of reducing cost and maximizing the performance and reliability of manufacturing systems. Besides theoretical analysis and innovation, you will work closely with seasoned scientists, engineers, and program managers to deliver your algorithms and models into real products. Your work will directly impact our customers in manufacturing lines.

You are the ideal candidate if you are enthusiastic about delivering products and solutions that are robust and dominant in the market. You thrive in ambiguous environments that require finding the best answers to open problems that have not been solved before. You leverage your exceptional technical expertise in fast-paced research and development and apply your fundamental understanding of computer science, mathematics, and statistics to create reliable, scalable high-performance products. Your strong communication skills enable you to work effectively with both business and technical partners. You have hands-on experience making the right decisions about technical methods. You strive for simplicity and elegance and demonstrate significant creativity and sound judgment backed by real data. Most of all, you are willing to take calculated risks, learn by trying, and grow as a team.

Responsibilities

• Design and run experiments, develop new algorithms, and find new ways of reducing cost and maximizing performance and reliability of manufacturing systems.
• Lead projects with complete independence and helps program/product managers even when business, product, and technical strategies are not defined and the problems to be solved are not known before start.

Key Qualifications

• D degree in Machine Learning (ML), Computer Science, Statitsics, Electical Engineering or related fields.
• Has deep and broad expertise across several applied Science disciplines, is scientifically versatile, and demonstrates scientific and industrial maturity.
• Practical > 5 yrs experience in applying ML/AI to complex business problems.
• Hands-on experience programming in Python, Matlab, R, Java, C++, or other programming languages.