Firm Name: Tesla

Numbers of Jobs: Data Scientist

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hours

What's Job City: Palo Alto

Job Details:

What to be prepared for.

 To help Tesla design and validate the most compelling and reliable products for our customers, the Reliability Data Science team is looking for a superb data scientist/software engineer. We collect real-time life data from test, factory, and fleet of Vehicle and Energy products to enable decision-making on prognostics and targeted design actions. The position will have a big impact on how well the organization as a whole models prognostics and warranties.

 The level of this position will be determined at the time of the interview.

 Your Strategy.

•  Make physical degradation models, failure prediction models, and algorithms for prognostics that are data-driven.
•  Create software that is dependable, flexible, and automated to enable sophisticated fleet analysis.
•  Data from tests (accelerated life) and the field (life) should be subjected to statistical analysis in order to inform reliability physics modeling/analyses and related corrective actions.
•  To enable proactive monitoring, boost reliability, and lower field failures, respond to complex fleet usage and behavior questions.
•  Keep up with machine learning advancements, particularly those involving physics-based machine learning and data-driven prognostics.

 What You'll Bring.

•  A minimum of a bachelor's degree in a quantitative subject (such as mathematics, physics, computer science, or statistics), or the equivalent in experience and documentation of exceptional ability.
•  strong background in statistics and machine learning, including Bayesian statistics and survival analysis. ).
•  strong Python (or any other programming language, like C, C++, or Rust) skills.
•  the ability to build machine learning pipelines and have a working knowledge of MLOps.
•  a strong grasp of algorithms, data structures, and architectures.
•  knowledge of fundamental engineering and physics principles.
•  high levels of speaking and writing communication.

 I enjoy owning it.

•  knowledge of Kubernetes, Ansible, and Docker for containerization and DevOps.
•  working comprehension of the Data Lake/Warehouse, Presto, and Spark components of the Big Data ecosystem.
•  Proof of original contributions to statistical modeling or machine learning as demonstrated by achievements like first author publications or projects.

 Reward and Compensation.

 Benefits.

 You are eligible for the following benefits as a full-time Tesla employee starting on your first day of work in addition to a competitive salary.

•  There are two medical plan options with no payroll deductions through Aetna: PPO and HSA.
•  advantages of family-building practices like surrogacy and adoption.
•  There are no payroll contribution options available for either dental (including orthodontic coverage) or vision plans.
•  The employer will cover the HSA contribution if the employee enrolls in the High Deductible Aetna Medical Plan with HSA.
•  Flexible Spending Accounts (FSAs) for child and elder care costs.
•  LGBTQ+ concierge care services.
•  Other financial benefits include a 401(k) with employer match and employee stock purchase plans.
•  The employer was responsible for covering the costs of basic life, AD&D, short-term disabilities, and long-term disabilities.
•  Program for Occupational Therapy.
•  Paid holidays, paid sick leave, and flexible scheduling for salaried positions.
•  parents and kids can use supportive resources.
•  Critical illness, hospital indemnity, accident, theft, and legal services insurance are just a few of the optional benefits.
•  programs to aid in weight loss and quitting smoking.
•  Tesla Babies is a program.
•  benefits of commuting.
•  benefits and discounts for employees.