Data Science Intern
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Internship Overview
We are seeking a passionate and technically skilled intern to join our R&D team as a Data Science Intern. This role is ideal for students with a strong foundation in data engineering and statistical analysis, eager to apply their skills to real-world simulation data and AI-driven workflows.
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Key Responsibilities
• Clean and preprocess simulation data using Python (Pandas, NumPy).
• Build Dockerized data pipelines for feature engineering and analysis.
• Collaborate with ML engineers to prepare datasets for modeling.
• Contribute to internal dashboards and data-driven insights.
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Preferred Qualifications
• Enrolled in a Data Science or related graduate program.
• Experience with Python, SQL, and data wrangling tools.
• Familiarity with ML libraries (scikit-learn, TensorFlow).
• Strong analytical mindset and attention to detail.
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Perks and Benefits
Health and Wellness
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
- Health Insurance
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- Adoption Leave
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Volunteer Time Off
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- Performance Bonus
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Access to Online Courses
- Internship Program
- Leadership Training Program
Diversity and Inclusion