MKS Instruments
Senior Data Scientist (Automation Engineering)
MKS Instruments, Milpitas, California, United States, 95035
Senior Data Scientist (Automation Engineering)
Are you naturally curious? So are we at MKS. Our collective curiosity drives us to be an innovation leader in many industries. Our products drive technology advancements across a wide range of applications such as 5G, augmented/virtual reality, autonomous vehicles, clean drinking water and space exploration. We are a team of collaborators who value fresh thinking and believe in mutual respect, constructive candor, diversity, and inclusion. As a valued and trusted partner to our customers, we are continually pushing the boundaries of possibility. We believe in creating technology that transforms our world and are looking for like-minded individuals to join our team. If this is appealing to you, we want to meet you.
A Day in Your Life at MKS:
We are looking for an exceptional Senior Data Scientist, who will work as part of a cross-functional team leading MKS on its journey to further automate the alignment and attachment of complex opto-mechanical assemblies. We are an interdisciplinary team building the foundation for an automated future, and your role will be to apply your expertise in data management and analysis, machine learning, and statistical modeling to enhance automation systems and other processes through the company. You will work closely with the Automation Engineering Team and other cross-functional teams within MKS to optimize processes and handling of data streams. In short, you will shape data into actionable information and harness data-driven insights to improve our understanding and decision making.
You Will Make an Impact By:
Collaborate closely with automation engineers to design and develop data pipelines, process flows and real-time dashboards so that complex system behavior can be easily understood and trackable amongst a larger lake of data.
Lead data-driven initiatives to optimize and improve automated processes for aligning, attaching, and testing opto-mechanical assemblies.
Work with high-dimensional data from various sensors, cameras, and robotic systems to generate dashboards and reports as well as derive insights that can drive process efficiency and accuracy.
Develop and implement machine learning models to analyze large sets of process data, identify trends, and provide actionable insights for continuous improvement.
Skills You Bring:
Bachelor’s degree in Data Science, Computer Science, or related Engineering field.
3+ years of experience in data science or machine learning roles, with a strong focus on process optimization, final test data streams, or manufacturing processes.
Expertise in machine learning techniques, including supervised and unsupervised learning, statistical modeling, and time-series analysis.
Demonstrated experience with:
Actively contributing to complex cross-functional projects from start to finish.
Data wrangling, feature engineering, and building data pipelines for processing large datasets.
Python and related data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, etc.).
Time-series databases and visualization of time-series data.
Exceptional written and oral communication skills coupled with strong analytical skills.
Preferred Skills :
An advanced degree - Master or Ph.D. Data Science, Computer Science, or related Engineering field.
Demonstrated experience with:
Data collection and analysis for optical systems, including imaging systems, laser-based metrology, and machine vision applications.
Cloud platforms (e.g., AWS, Azure) and large-scale time-series data storage/processing servers (e.g., InfluxDB).
Automated manufacturing processes, especially in the context of opto-mechanical systems.
Active alignment of optical components using motorized stages/actuators and laser metrology/image processing feedback.
A proven ability to turn data into actionable information that can be explained at an executive level.
An inherent drive to optimize processes and performance of processes, systems, and algorithms.
Experience with Python and C++ as well as other higher level software tools and frameworks.
Experience with data visualization tools (e.g., Tableau, Grafana) and statistical software (e.g., R, MATLAB).
Experience working with fiber optics and lasers, including diode lasers, solid-state lasers, and fiber lasers, from the UV to the NIR spectrum.
MKS is an equal opportunity employer, including disability, veteran status and all categories protected by law. Please review our EOE statements for additional details. MKS is generally only hiring candidates who reside in states where we are registered to do business.
We are interested in a qualified candidate who is eligible to work in the United States. However, we will not be sponsoring work visas for this position, at this time.
Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees.
MKS Instruments, Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.
MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com .
If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role
Are you naturally curious? So are we at MKS. Our collective curiosity drives us to be an innovation leader in many industries. Our products drive technology advancements across a wide range of applications such as 5G, augmented/virtual reality, autonomous vehicles, clean drinking water and space exploration. We are a team of collaborators who value fresh thinking and believe in mutual respect, constructive candor, diversity, and inclusion. As a valued and trusted partner to our customers, we are continually pushing the boundaries of possibility. We believe in creating technology that transforms our world and are looking for like-minded individuals to join our team. If this is appealing to you, we want to meet you.
A Day in Your Life at MKS:
We are looking for an exceptional Senior Data Scientist, who will work as part of a cross-functional team leading MKS on its journey to further automate the alignment and attachment of complex opto-mechanical assemblies. We are an interdisciplinary team building the foundation for an automated future, and your role will be to apply your expertise in data management and analysis, machine learning, and statistical modeling to enhance automation systems and other processes through the company. You will work closely with the Automation Engineering Team and other cross-functional teams within MKS to optimize processes and handling of data streams. In short, you will shape data into actionable information and harness data-driven insights to improve our understanding and decision making.
You Will Make an Impact By:
Collaborate closely with automation engineers to design and develop data pipelines, process flows and real-time dashboards so that complex system behavior can be easily understood and trackable amongst a larger lake of data.
Lead data-driven initiatives to optimize and improve automated processes for aligning, attaching, and testing opto-mechanical assemblies.
Work with high-dimensional data from various sensors, cameras, and robotic systems to generate dashboards and reports as well as derive insights that can drive process efficiency and accuracy.
Develop and implement machine learning models to analyze large sets of process data, identify trends, and provide actionable insights for continuous improvement.
Skills You Bring:
Bachelor’s degree in Data Science, Computer Science, or related Engineering field.
3+ years of experience in data science or machine learning roles, with a strong focus on process optimization, final test data streams, or manufacturing processes.
Expertise in machine learning techniques, including supervised and unsupervised learning, statistical modeling, and time-series analysis.
Demonstrated experience with:
Actively contributing to complex cross-functional projects from start to finish.
Data wrangling, feature engineering, and building data pipelines for processing large datasets.
Python and related data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, etc.).
Time-series databases and visualization of time-series data.
Exceptional written and oral communication skills coupled with strong analytical skills.
Preferred Skills :
An advanced degree - Master or Ph.D. Data Science, Computer Science, or related Engineering field.
Demonstrated experience with:
Data collection and analysis for optical systems, including imaging systems, laser-based metrology, and machine vision applications.
Cloud platforms (e.g., AWS, Azure) and large-scale time-series data storage/processing servers (e.g., InfluxDB).
Automated manufacturing processes, especially in the context of opto-mechanical systems.
Active alignment of optical components using motorized stages/actuators and laser metrology/image processing feedback.
A proven ability to turn data into actionable information that can be explained at an executive level.
An inherent drive to optimize processes and performance of processes, systems, and algorithms.
Experience with Python and C++ as well as other higher level software tools and frameworks.
Experience with data visualization tools (e.g., Tableau, Grafana) and statistical software (e.g., R, MATLAB).
Experience working with fiber optics and lasers, including diode lasers, solid-state lasers, and fiber lasers, from the UV to the NIR spectrum.
MKS is an equal opportunity employer, including disability, veteran status and all categories protected by law. Please review our EOE statements for additional details. MKS is generally only hiring candidates who reside in states where we are registered to do business.
We are interested in a qualified candidate who is eligible to work in the United States. However, we will not be sponsoring work visas for this position, at this time.
Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be “U.S. persons.” “U.S. persons” are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees.
MKS Instruments, Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.
MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: accommodationsatMKS@mksinst.com .
If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role