Machine Learning & AI Specialist

Coherent Corp.; Stockholms kommun; On-site; SEK 890,000 - 1,320,000; Full time

Benefits offered by this job

International environment

Challenging projects

Competitive benefits

Job summary

Coherent Corp. in Sweden seeks a data analytics specialist to analyze large engineering datasets, identify trends and issues, and apply statistical and ML/AI methods for prediction and detection.

You will develop automated tools for analysis and reporting, build and maintain models for yield and failure risk, and collaborate with Product Engineering, IT, and data teams to translate data into actionable improvements.

Qualifications

• Strong analytical and problem-solving mindset for engineering challenges using data/AI/ML.
• 3+ years of industrial experience delivering data-driven projects or equivalent.
• Expertise in ML/AI methods and handling large datasets.
• Experience with JMP and Minitab for statistical analysis.
• Programming in Python with pandas, NumPy, and scikit-learn.
• Experience with databases and SQL.
• Visualization with Power BI or similar tools.
• Fluent in English; Swedish language is an advantage.

Responsibilities

• Analyze large engineering datasets to identify trends and issues.
• Apply statistical and ML/AI methods for prediction and detection.
• Develop automated tools for analysis and reporting.
• Support root cause analysis using data-driven methods.
• Build and maintain models for yield and failure risk.
• Standardize data structures, KPIs, and analysis methods.
• Ensure data quality and consistency across systems.
• Collaborate with engineers to translate data into actions.
• Identify improvement opportunities proactively from data.
• Bridge Product Engineering with IT and data systems.

Skills

Analytical mindset

Data analysis

Machine learning

English fluency

Education

Master's degree in Machine Learning, Mechatronics, Electronics, Nanotechnology, or related field

Tools

JMP

Minitab

SQL

Power BI

Job description

Job Description

• Analyze large engineering datasets to identify trends and issues.
• Apply statistical and ML/AI methods for prediction and detection.
• Develop automated tools for analysis and reporting.
• Build and maintain models for yield and failure risk.
• Standardize data structures, KPIs, and analysis methods.
• Ensure data quality and consistency across systems.
• Collaborate with engineers to translate data into actions.
• Identify improvement opportunities proactively from data.
• Bridge Product Engineering with IT and data systems.

Primary Duties & Responsibilities

• Analyze large engineering datasets to identify trends and issues.
• Apply statistical and ML/AI methods for prediction and detection.
• Develop automated tools for analysis and reporting.
• Support root cause analysis using data-driven methods.
• Build and maintain models for yield and failure risk.
• Standardize data structures, KPIs, and analysis methods.
• Ensure data quality and consistency across systems.
• Collaborate with engineers to translate data into actions.
• Identify improvement opportunities proactively from data.
• Bridge Product Engineering with IT and data systems.

Lead and Manage

• Identify improvement opportunities proactively from data.
• Collaborate with Product Engineering, WFAB, Backend, Process Integration, and Software teams.
• Work independently on analysis tasks; follow guidance from senior engineers and management to align priorities and elevate complex issues. Reports to Senior Manager, Product Operations.

Education & Experience

• Master's degree in Machine Learning, Mechatronics, Electronics, Nanotechnology, or a related field, including a thesis focused on industrial applications and AI/ML.

Skills

• Strong analytical and problem-solving mindset with the ability to solve engineering challenges using data and AI/ML methods; proactive and results-oriented.
• Hands-on experience in data analysis, programming, and applying statistical or machine learning methods to real engineering problems. Minimum of 3 years of industrial experience or a proven track record of delivering similar projects.
• Expertise in ML/AI methods and working with large datasets.
• Experience with statistical tools such as JMP and Minitab.
• Programming skills in Python, including pandas, NumPy, and scikit-learn.
• Experience with databases and SQL.
• Experience with visualization tools such as Power BI or equivalent.
• Fluent in English; Swedish is considered an advantage.

Culture Commitment

Integrity - Create an Environment of Trust

Collaboration - Innovate Through the Sharing of Ideas

Accountability - Own the Process and the Outcome

Respect - Recognize the Value in Everyone

Enthusiasm - Find a Sense of Purpose in Work

We Offer

• A dynamic international environment and an appreciative, collaborative corporate culture.
• The opportunity to tackle unique technical challenges for the products of tomorrow.
• Competitive social benefits.

About Us

Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!