Data Scientist - EV Energy Services

at  Nissan

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.

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.”

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.

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)