Job Title: Data Scientist Intern
Company: FormFactor Inc.
Location: Livermore, CA
Description:
FormFactor, Inc

Livermore, CA

In a world driven by the increased demand of technology, semiconductor manufacturers require a trusted partner to pioneer the frontiers of advanced integrated circuits (ICs). FormFactor, Inc (FFI) is the world's leading supplier of semiconductor test and measurement products that power electronic systems used in computing, consumer-technology, automotive, Artificial Intelligence (AI) and other applications. Our cutting-edge solutions are the driving force behind the testing of ICs that power electronic systems across computing, consumer technology, automotive, Artificial Intelligence (AI), and myriad other applications.

As a leading player in the semiconductor industry, FormFactor actively seeks out individuals who are not just employees, but passionate contributors eager to thrive in an ever-evolving landscape. At FormFactor, we are not just shaping the future of semiconductors; we are rewriting the narrative of innovation itself.

Our commitment extends beyond the technical realm to the very fabric of our culture. Rooted in our core values—Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People—we foster an environment where diverse perspectives are not only welcomed but celebrated. Join us in experiencing the exhilaration of collaborating with a dynamic team, pushing the boundaries of what's possible, and contributing to a workplace where your voice is not just heard but valued and empowered. Become an integral part of our journey as we collaboratively Form Our Future Together, setting the stage for a new era in semiconductor excellence.

Purpose

We are seeking a motivated and curious Data Scientist Intern to join our team and support key data-driven initiatives. You will work closely with data scientists and analysts to extract insights from large datasets, build predictive models, and contribute to the development of data products that drive business decisions.

Key Responsibilities


Assist in cleaning, exploring, and analyzing structured and unstructured datasets.
Support the development and evaluation of machine learning models.
Create data visualizations and dashboards to communicate insights.
Collaborate with cross-functional teams (e.g., engineering, product, marketing) to solve business problems using data.
Document methodologies, findings, and results in a clear and organized manner.
Conduct ad hoc analyses and contribute to ongoing data science projects.


Preferred Qualifications


Currently pursuing a Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Applied Math, Engineering, or related field.
Strong proficiency in Python or R; experience with libraries like pandas, NumPy, scikit-learn, etc.
Familiarity with SQL and data querying.
Understanding of statistical analysis and machine learning fundamentals.
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
Excellent problem-solving and communication skills.


The pay range for this role in Livermore, CA is between $ 30.95 and $ 40.64. The pay range may differ in other locations. FormFactor maintains broad salary ranges for its roles in order to account for variations in education, training, skills, relevant work experience, business needs and market demands. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Benefits offered for this role include medical, dental, vision, EAP, short-term and long-term disability, life insurance, flexible spending and savings accounts, 401(k), ESPP and paid time off.

FormFactor is committed to providing a work environment where everyone is treated with dignity and respect. We are an Equal Employment Opportunity (EEO) employer and are committed to compliance with all Federal, State, and local laws that prohibit employment discrimination on the basis of age, race, color, sex (including breastfeeding and related conditions), gender (including gender identity and gender expression), national origin, ancestry, sexual orientation, religion, physical or mental disability, marital status, registered domestic partner status, medical condition, military or veteran status, genetic characteristics or information, or any other legally protected characteristic. These

protections extend to all employment and management decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations, and all other terms and conditions of employment.
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