Data Scientist / Quality Engineering Lathrop

What To Expect
The Quality Team at Megafactory in Lathrop is looking for a Data Scientist to support Quality Engineering intiatives on site at Gigafactory. This position will support a variety of projects within production quality. This position will automate ETL pipelines with SQL python and javacript.
What You’ll Do

• Monitor key product metrics, understanding root causes of changes in metrics
• Perform data quality validations to ensure data creation is as per the business needs and expectations
• Drive underlying data systems improvement by working with key cross-functional stakeholders
• Analyze manufacturing, equipment and vehicle data and extract useful statistics and insights about failures in order to drive meaningful improvements to production quality and customer experience
• Automate analyses and authoring pipelines via SQL and Python based ETL framework
• Maintain existing data visualizations, data pipelines and dashboard enhancement requests
• Work with management to prioritize business and information needs
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling

What You’ll Bring

• Extensive experience writing software with Python
• Experience and interest in frontend development, preferably with the Javascript React framework
• Experience with multiple data architecture paradigms (e.g. SQL, NoSQL, Kafka, Spark)
• A passion and curiosity for data and data-driven decision making
• Familiarity with continuous integration pipelines (Docker, Jenkins, Kubernetes)
• Knowledge of various data communication protocols (e.g. REST API, Websockets)
• Drive to introduce a predictive model to a production environment
• Able to work under pressure while collaborating and managing competing demands with tight deadlines
• Success building and tuning image classification model
• Experience with open source machine learning libraries and frameworks (Tensorflow, Keras, etc)

Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

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 options with a $0 paycheck contribution

Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA

Healthcare and Dependent Care Flexible Spending Accounts (FSA)

LGBTQ+ care concierge services

401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits

Company paid Basic Life, AD&D, short-term and long-term disability insurance

Employee Assistance Program

Sick and Vacation time (Flex time for salary positions), 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

Weight Loss and Tobacco Cessation Programs

Tesla Babies program

Commuter benefits

Employee discounts and perks program

Expected Compensation
$72,000 - $232,200/annual salary + cash and stock awards + 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.
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