Research Data Science Intern- Spring 2025- Silicon Valley, CA
Santa Clara, California - United States of America
Nissan Motor Corporation
Nissan Motor Corporation Global Website: Visit the site for information about Nissan, sustainability, IR, and innovation. This site also provides various Nissan initiatives, including design, safety, quality, and community engagement.Job Schedule: Onsite
Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation
At Nissan, we’re not just building cars, we’re revolutionizing mobility. We’re a global leader with a heritage of innovation, and we’re searching for talented individuals like you to join us on this exciting journey. We believe that every individual possesses a unique set of skills and passions that can be harnessed to drive innovation and shape the future of the automotive industry. Our diverse range of program areas and career paths offer exciting opportunities for adventurers like you to embark on a thrilling professional journey.
Learn more about Nissan’s future here: https://www.youtube.com/watch?v=EDJ3GVA1QRw
We are currently looking for a Research Data Science Intern to join our team in Santa Clara, CA.
A Day in the Life:
- Conduct exploratory data analysis to understand customer behaviors and trends, operating conditions of EV batteries and their state-of-health. Communicate insights to diverse stakeholders, and leverage relevant findings to help drive our team’s efforts.
- Collaborate with research scientists, engineers, managers, and stakeholders to develop data-driven, planning, segmentation, optimization, and predictive models for battery life management such as optimization of second use relevant exploratory and customer-facing applications.
- Working fast with Python and SQL – interns will be expected to contribute to data processing, feature engineering, model development and validation. Real-world data can be noisy, poorly structured, and highly limited; comfort with the tools of the trade will go a long way and maximize your impact.
- Communicate with business stakeholders to apply your ideas to battery circular economy.
Who We’re Looking for:
- Must be currently enrolled in a PhD program in computer science, statistics, engineering, chemistry, operations research, or related technical field. Exceptional candidates in research-focused MS programs will be considered.
- Minimum 3.0 GPA
- Fluency in Python, including proficiency with data structures & advanced algorithms
- Hands-on experience with data science packages including pandas and scikit-learn, experience with machine learning frameworks like TensorFlow, JAX, and/or PyTorch, and working ability with optimization frameworks like cvxpy
- Advanced artifacts in the form of sound and creative scientific papers (e.g. SIGKDD, ICLR, ICML, ICRA, ICCPS, etc.), open-source code contributions, and/or patents
- Attention to detail, flexibility, creativity, and excellent communication and teamwork skills
- A strong passion for sustainability, empirical research, and for answering hard questions with data
- Ability to perform work onsite at the Nissan Advanced Technology Center Silicon Valley in Santa Clara, CA.
What You’ll Look Forward to as a Research Data Science Intern at Nissan:
Connection and Collaboration: We offer Business Synergy Teams (ERGs) and opportunities for our employees to strengthen their relationships and meet people from similar and diverse backgrounds to foster a culture of belonging.
Professional Training and Development: Expand your knowledge and skills through Nissan’s rich innovation offerings, seminars, learning platforms and leadership trainings.
The Nissan Leadership Way sets our company way of doing things, with the values underpinning how we can work together to achieve success. Explore more here: https://www.nissan-global.com/EN/COMPANY/LIFE_AT_NISSAN/
Fuel your career with innovation and purpose by joining Nissan, a company dedicated to enriching other’s lives.
Nissan is committed to a drug-free workplace. All employment is contingent upon successful completion of drug and background screenings in accordance with Nissan policies and as permitted by applicable statutes and regulations.
It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
Salary Range Estimate: $44-48/hr. This compensation range is provided as a reasonable estimate of the salary range for the job’s grade level. Factors that may be used to determine your actual salary may include, among other things, your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.
Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.
It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
NISSAN FOR EVERYONE
People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.
Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees – with shared characteristics or interests – build allies, and foster a company culture where all employees feel supported and included.
Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.
Join us as we carry our commitment to diversity and inclusion into the future.
Santa Clara California United States of AmericaSalary Range:
$15.00 - $35.00Salary Range Estimate: Annual Salary: (Minimum to Maximum of Salary Range noted here). This compensation range represents the minimum and maximum base salary rates at Nissan for jobs assigned to this particular grade level. Please note that it is uncommon for an employee to be placed at either end of the range. Rather, an employee’s actual base salary generally may fall somewhere in between and reflect the employee’s unique skills, work experience, education, work location, and market norms. Additionally, pay may be based on comparisons to the base salary rates of other employees with similar backgrounds working in comparable roles.
Tags: Chemistry Computer Science Data analysis EDA Engineering Feature engineering ICLR ICML JAX Machine Learning ML models Open Source Pandas PhD Python PyTorch Research Scikit-learn SQL Statistics TensorFlow
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.