Data Scientist - EV Energy Services

Location(s): Santa Clara, CA
Job Schedule: Full-time/Hybrid
Preferred Degree: PhD
Sponsorship: No

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 Data Scientist - EV Energy Services to join our team in Santa Clara, CA. Option for brief summary provided by the business.

A Day in the Life:   
Work closely with other experts Machine Learning, Optimization, Energy Systems, Software Engineering, and Business to realize future service concepts of EVs.

• Analyze & understand EV users from data, and design customer experiences & customer values from findings through data analysis.

• Hypothesize new energy services (intelligent charging management, personalized charging recommendation, and so on).

• Develop/manage/improve data workflow for those new energy services.

• 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.

Who We’re Looking for: 

• Masters or above in Computer Science, Mathematics, Statistics, Operational Research, or a related field

Required skills:

• Fluency 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) for customer analysis.

Preferred skills:

• Ph. D in a related field

• 3 or more years of business experience in related industry field

• Experience in AWS / SnowFlake environment

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

What You’ll Look Forward to as a Data Scientist 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 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 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 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.

Salary Range:

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.