DATA SCIENTIST

About the position

The Data Scientist position at Coherent involves building, validating, maintaining, and improving predictive models in the context of large-scale manufacturing. The role requires leading projects from inception to completion to enhance production and business performance through the application of predictive models. Collaboration with data engineers, software engineers, and various teams such as process engineering, operations, and commercial teams is essential to utilize domain-specific knowledge effectively. Additionally, the Data Scientist will perform on-demand data analysis as requested by management.

Responsibilities

• Build, validate, maintain, and improve predictive models in context of large-scale manufacturing.
• Lead projects from beginning to finish to enhance production and business performance by applying predictive models.
• Collaborate with data engineers and software engineers to integrate predictive models into existing and future data infrastructure and data visualization systems.
• Collaborate with process engineering, operations, production planning, and commercial teams to utilize domain-specific knowledge.
• Perform on-demand data analysis at requests from the management.

Requirements

• A PhD degree in statistics, physics, engineering, material sciences, computer science, mathematics, or a similar STEM field.
• A master's degree in a STEM field and a minimum of 3 years' experience in a data-centric role, preferably in a high-throughput manufacturing environment.
• A bachelor's degree in a STEM field and a minimum of 5 years' experience in a data-centric role, preferably in a high-throughput manufacturing environment.
• Proven records of building predictive models by applying machine learning and scientific methods.

Nice-to-haves

• Mastery of machine learning, mathematical modelling, statistical analysis, and scientific reasoning.
• Hands-on expertise in a machine-learning platform such as TensorFlow, Scikit-learn, Amazon SageMaker, and IBM Watson.
• Ability to both apply and communicate foundational data science concepts to a general audience.
• Proficient in working with SQL, Hadoop, Spark or a similar industry-standard data framework.
• Proficient in Python, C++, or other modern programming languages.
• General familiarity with modern software development practices, such as version control and virtualization.
• Proficient in a data exploration software, such as JMP, Pandas, R, SAS, Matlab, or Mathematica.
• Excellent interpersonal and communication skills.

Benefits

• Competitive compensation program.
• Comprehensive career development platform.
• Stability and longevity in employment.