Internship, Data Science, Sales Service & Delivery Operations & Business Analytics (Summer 2024)

Key Skills

Aartificial intelligence, Apache Airflow, Apache Kafka, Business Analytics, Data Analytics, Data Engineering, Data science techniques, Effective communication skills, Machine learning techniques, Operations, Python Programming, Sales, SPARK Programming, SQL

Job Description

The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions where they will grow both technically and personally through their experience working closely with their manager, mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them projects that are critical to their team’s success.

The Business Analytics team’s mission is to enable a data driven business and generate values from our data. The team is responsible for providing insights around our business and its associated processes, as well as customers and products. The team directly supports business leaders from our retail locations and at the headquarter, and up to our executive team.

We are looking for a hands-on data science intern who will be working on projects for both energy and automotive business using data science tools and techniques to drive business process automations and support sales & service team.

What You’ll Do

• Contribute to all the stages of data science projects: from translating a complex business problem into a data science problem to performing data analysis & modeling, and providing solutions to the business
• Apply various ML, advanced analytics, and visualization techniques to various projects across the company
• Develop and maintain complex data pipelines, supporting our team’s mission in democratizing data and enabling a data driven organization, partnering with Data Analysts, Data Engineers, Machine Learning (ML) Engineers, and Product Managers
• Effectively communicate actionable insights to stakeholders with varying degree of data science understanding and backgrounds

What You’ll Bring

• Currently pursuing a degree in a quantitative field (e.g. Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Computer Science, Artificial Intelligence, Economics or Engineering)
• Proficiency in SQL and Python, especially in standard data science libraries and frameworks
• Results oriented with strong business acumen and practical data science skills.
• Strong written, verbal, and interpersonal communication skills
• Prior success deployinPg ML solutions
• Experience in data engineering tools such as Airflow, Spark, Kafka, etc
• Experience in visualization tools such as Tableau, PowerBI, etc

Compensation and Benefits

Benefits

As a full-time Tesla Intern, you will be eligible for:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• LGBTQ+ care concierge services
• 401(k), Employee Stock Purchase Plans, and other financial benefits
• Company Paid Basic Life, AD&D, and short-term disability insurance
• Employee Assistance Program
• Sick time after 90 days of employment and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Commuter benefits
• Employee discounts and perks program

Expected Compensation

$24.04 - $45.43 + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.