Innovation that excites. It's the inspiration for everything we do. For Nissan, it means rethinking the ordinary, pushing the boundaries, exceeding expectations, and anticipating the needs of an ever-changing planet.

Nissan is looking for Data Scientist for near-term assignment to Nissan Advanced Technology Center-Silicon Valley (NATC-SV, located in Santa Clara, CA). NATC-SV is a muti-disciplinary organization that pursues future mobility systems. Our R&D domain covers broad range of future mobility systems, including autonomous driving, material informatics for innovative materials design and so on. As a Data Scientist, you will work on electric vehicle grid integration (VGI), which can contribute smart charging of electric vehicles (EVs) for energy resiliency, CO2 reduction, electricity saving etc.

We are exploring cutting edge new technologies to build future mobility businesses and energy systems. In our lab, you will be contributing to not only proof-of-concept, but also a commercial project.

We are looking for a Full Time Data Scientist to work with EV Energy Services team at Nissan Advanced Technology Center Silicon Valley (Santa Clara, CA) - Onsite.

***No visa sponsorship available

Job Responsibilities

How you will be contributing:

  • Develop/manage/improve data workflow for EV energy services (intelligent charging management, personalized usage recommendation, and so on).

  • Analyze & understand usage patterns of EVs from data and discussion with domain experts of energy and EV domains.

  • Design customer experiences & customer values from findings through data analysis.

  • Work closely with other experts Machine Learning, Energy Systems, Software Engineering, and Business to realize future service concepts of EVs.

  • Perform evaluation of prototypes and services, using real-world big data of EVs. Define KPIs with domain experts, and prototype KPI monitoring tools.

  • Bring your creativity to innovate future energy & mobility systems.

Job Knowledge and Skills:

Qualifications for this role:

  • Min 5 to 7 years of hands on experience as a Data Scientist with related industry field

  • Master's or above in Computer Science, Mathematics, Statistics, Operational Research, or a related field.

  • Familiarity with programming languages / database languages (Python, R, SQL, etc.),

  • Familiarity with data visualization / exploration / business intelligence tools (Tableau, etc.),

  • Experience in building or maintaining ETL processes,

  • Solid understanding of machine learning techniques and algorithms, (k-NN, Naive Bayes, SVM, Decision Forests, etc.),

  • Experience with big data analysis using real-world data (marketing data, human behavior data, and so on).

Ways to stand out for the crowd:

  • Ph. D in a related field

  • Experience in AWS / Snowflake environment

  • Project experience of online (real time) data management of IoT devices.

Welcome to an open lane of possibility. We know you have the capability to change the world, and we want you to help us change the future of automotive. Drive your career forward and join the company leading the technology and business evolution of the automotive industry by applying today

Nissan is committed to a drug-free workplace.  All employment is contingent upon successful completion of a drug screen for roles based in the United States and background screening for all positions.

All of us at Nissan – regardless of functional area or expertise – share a passion to design, manufacture, and sell high-performance vehicles. 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. **Visa sponsorship for this position is not available at this time.”

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 America

Salary Range:

$87,978.00 - $172,830.00

Salary 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.

Salary

$87,978 - $172,830

Yearly based

Location

Santa Clara, California - United States of America

Job Overview
Job Posted:
5 months ago
Job Expires:
Job Type
Full Time

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