特斯拉数据工程师, 电芯质量及可靠性 Data Engineer, Cell Quality & Field Reliability

工作描述

任职要求
Strong SQL, Python queries for data analytics, applied knowledge of statistical analysis (like hypothesis testing), time series analysis, working knowledge of reliability statistics such as Weibull Analysis
Experience building optimal ETL data pipelines across structured and unstructured data sources
Strong data visualization skills Tableau/JMP, and Python packages such as seaborn, matplotlib
Working knowledge of Big Data technologies like Hadoop ecosystem (Spark, HDFS, Presto etc.)
Excellent verbal and written communication skills - ability to break down complex technical topics and deliver visual technical presentations (e.g., PowerPoint) to groups of  engineers, scientists, and technicians
B.S/M.S. in Data Science, Data Analytics, Computer Science, Engineering (Industrial Engineering, Mechanical Engineering, Materials Science is a plus) with 1-2+ years of industry experience.

Desirable Attributes
Experience to recommend statistical/analytical models based on manufacturing data and process setup changes to improve quality
of product
Quality control experience in test/manufacturing environment
Design of experiments for process optimization

This job application may involve an interview with an intervi…