STAFF DATA SCIENTIST, AI/ML SOFTWARE ENGINEERING

TE Connectivity is a company focused on creating a safer, sustainable, and more connected world. The Staff Data Scientist will analyze complex datasets and develop statistical and machine learning models to drive data-driven decisions while collaborating with engineering and product teams.

Responsibilities:

• Lead the development of advanced statistical and machine learning models addressing complex engineering and business challenges
• Identify strategic opportunities where data science can improve engineering productivity, product design, or operational performance
• Define analytical approaches and modeling frameworks used across multiple projects
• Guide development of scalable data pipelines and analytical frameworks that support enterprise data science initiatives
• Define best practices for data collection, feature engineering, model evaluation, and reproducibility
• Support integration of advanced analytics and machine learning models into production systems
• Serve as a technical advisor on complex analytical challenges across engineering and product teams
• Mentor and guide junior data scientists and analysts
• Influence analytical standards, tools, and methodologies across the organization
• Translate complex analytical findings into strategic recommendations for engineering leadership and business stakeholders
• Develop advanced visualizations and dashboards to support decision making
• Partner with cross functional teams to ensure analytical insights are implemented in real world systems

Requirements:

• Bachelor's with 8+ years, Master's with 6+ years, or PhD with 3+ years of experience in Computer Science, Data Science, Statistics, Mathematics, Electrical Engineering, or a related technical discipline
• Strong experience in statistical modeling, machine learning, and data analysis
• Strong programming skills in Python, R, or similar analytical programming languages
• Experience working with large datasets, data science libraries, and complex analytical problems
• Experience using visualization tools such as Tableau or Power BI
• Strong communication and data storytelling skills
• Ability to work independently on analytical projects and influence technical decisions
• Excellent presentation and stakeholder management skills
• Ability to travel 10% to 25% to customers, conferences, partner locations, and TE development sites