Posted:
8/6/2024, 5:00:00 PM
Location(s):
Tennessee, United States ⋅ Franklin, Tennessee, United States
Experience Level(s):
Internship
Field(s):
Data & Analytics
Workplace Type:
On-site
We’re currently looking for a EV Strategy Data Science to join our team. The position will be at the following location, Franklin, TN and will be a full-time role in Fall 2024.
Think you’ve got the internal drive to support the production of great vehicles and join a winning team? Welcome to an open lane of possibility. Apply for this position and start the process to kick your career into high gear.
During the course of your internship, you will have the chance to:
Job Responsibilities
Serve as one of the primary drivers of enhancing Nissans Customer Lifetime Value through the development and insights derived from EV related Data Products and Services.
Apply Data Science techniques to improve revenue/profit or achieve cost savings by developing strategic recommendations for data related projects and workstreams.
Tasked with deriving insights that support the development of these data products and services with the aim of improving customer adoption, engagement, retention and revenue generation.
Work on products and studies that span multiple Nissan business units along the customer journey or focus on a narrower but in-depth project relating to a single business division or customer touchpoint.
Support Data Engineering (cleaning, wrangling), Analytics (visualization, storyboarding) and Data Science (prediction) work across projects.
Assist in Project Management (Waterfall, Agile) of current and upcoming cross-functional data science initiatives related to EV.
If interest from the intern exist there is also opportunity to get involved in Data Science and Product Strategy work relating to Nissans ecosystem of services
As necessary, performs other related duties of which the above are representative.
In order to qualify for this role, you must:
Currently be pursuing a Bachelor's or Master's Degree in Data Science or a related field.
GPA of 3.0 or above
Ability to perform work onsite at NNA HQ in Franklin, Tennessee.
Intermediate understanding of Data Science concepts and use associated tools such as Python, Tableau.
Extensive use of data for analysis
Previous experience in electrification, connected products, and/or automotive strategy is strongly preferred.
An entrepreneurial mindset is desirable, with a proven ability to identify and create opportunities where value can be achieved for Nissan
Be self-motivated and willing to challenge yourself to develop your talents and skillsets
Strong communication skills both written and oral
Has an interest and enjoys meeting and interacting with new people.
Proficient in Microsoft Excel, PowerPoint and managing databases
Advantageous if candidates experience, interest or development potential in project management (Agile or Waterfall)
Advantageous if candidate has experience in working in a collaborative development environment such as Anaconda, Colab, Github/Lab.
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.**
Franklin Tennessee United States of AmericaWebsite: http://www.nissanusa.com/
Headquarter Location: Franklin, Tennessee, United States
Employee Count: 5001-10000
Year Founded: 1960
IPO Status: Private
Industries: Automotive ⋅ Innovation Management ⋅ Manufacturing