Product Data Analyst & AI Specialist
Coherent Corp. · Järfälla kommun, Sweden
Semiconductor Manufacturing · 10,001+ employees
About the role
You will analyze large engineering datasets to identify trends and apply machine learning methods to improve yield and process understanding. Additionally, you will develop automated tools and collaborate with cross-functional engineering teams to translate data into actionable insights.
What they look for
Requirements
The role requires a Master's degree in Machine Learning, Mechatronics, Electronics, Nanotechnology, or a related field. Candidates must have at least 3 years of industrial experience and proficiency in Python, SQL, and statistical analysis tools.
Benefits
Full description
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 escalate 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
Ensure adherence to Coherent's ICARE values in all aspects of your role:
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.
We look forward to receiving your application!
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!
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.