freehire launches on Product Hunt on 26 August.

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Product Data Analyst & AI Specialist

Summary

Analyzes engineering datasets with ML/AI to predict failures, optimize yield, and automate reporting using Python, SQL, and Power BI.

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!

See also