Infineon is looking to solve problems related to data analysis, machine learning, and data architecture to drive decarbonization and digitalization
Requirements
- Programming Skills: Strong knowledge of Python, Java, and SQL
- BI Tools: Experience with Tableau or other data visualization platforms
- Machine Learning Knowledge: Familiarity with model development and evaluation
- Statistical Expertise: Proficient in hypothesis testing and exploratory data analysis
- Data Handling: Able to work with both structured and unstructured datasets
- Collaboration Skills: Comfortable working with cross-functional teams
Responsibilities
- Data Analysis: Interpret and analyze structured and unstructured data using statistical methods
- Data Preparation: Clean, transform, and organize large datasets for analysis
- Personalization Modeling: Build machine learning models to optimize customer web journeys
- Tag Management: Assess data collection processes via web tag managers and recommend improvements
- Experimentation: Conduct and analyze A/B tests to identify actionable insights
- KPI Optimization: Apply statistical tools and ML techniques to improve DCI team metrics
- Collaboration: Work with engineering teams to define long-term data architecture strategies
Other
- Education: Currently pursuing Bachelor’s or Master’s in Computer Science, Mathematics, or Statistics
- Employment at Infineon is contingent upon proof of your legal right to work in the United States under applicable law
- Verification of satisfactory references and successful completion of a background check and drug test
- Signing all your on-boarding documents
- This position is not currently eligible for H-1B sponsorship
