Tesla is recruiting for a entry level Data Scientist in US

Position: Quality Data Scientist

Company: Tesla

Location: Sparks, NV, United States

Job Type: Full-time

Job Mode: On-site

Job Requisition ID: 219359

Years of Experience: Entry level

Company Description

• Tesla is a leading company committed to accelerating the world's transition to sustainable energy.
• Committed to hiring the best talents globally.
• Designing safe, high-performance electric vehicles.
• Dedicated to maintaining industry-leading safety, range, and performance standards.

Profile Overview

• The Quality Data Scientist position at Tesla involves driving quality data analytics within cross-functional engineering teams.
• Candidates will contribute to product quality improvements through analysis of large datasets and innovative visualization techniques.
• Role focuses on identifying trends, interpreting data, and enhancing data systems for meaningful insights.

Qualifications

• Bachelor's Degree in Management Information Systems, Computer Science, Math, Physics, Engineering, Statistics, or equivalent.
• Strong proficiency in SQL and experience with various data architecture paradigms (MySQL, MicrosoftSQL, Vertica, Oracle, Kafka, Spark).
• Skilled in ad-hoc analysis using SQL queries and Python data analysis packages (Pandas, Numpy).
• Proficient in data visualization tools such as Tableau, Power BI, Superset, Matplotlib, Plotly.
• Familiarity with data communication protocols like REST API and Websockets.
• Strong understanding of statistical techniques for summarizing data findings.
• Knowledge of data warehousing concepts, data mining tools, and techniques.
• Ability to work under pressure, manage tight deadlines, and collaborate effectively with diverse stakeholders.
• Excellent communication skills for translating business challenges into data projects.

Additional Information

• The role offers competitive compensation and benefits, including medical, dental, vision plans, and 401(k) with employer match.
• Comprehensive employee assistance programs, flexible spending accounts, and parental support resources are available.
• Tesla is an Equal Opportunity employer committed to diversity and providing reasonable accommodations for individuals with disabilities.
• Privacy is a top priority, and Tesla ensures data protection throughout the application process.

What to Expect

• Tesla's Quality Engineering team plays a crucial role in ensuring the safety and quality of products.
• The Quality Data Scientist will analyze manufacturing, equipment, and vehicle data to drive improvements in production quality and customer experience.
• Responsibilities include conducting end-to-end analyses, interpreting data, and identifying trends to enhance product metrics.
• The role involves acquiring data from various sources, maintaining databases, and automating analyses using SQL, Python, and other tools.
• Additionally, the position requires developing and maintaining real-time data streaming and processing pipelines using technologies like Kafka.

What You’ll Do

• Analyze manufacturing, equipment, and vehicle data to extract useful statistics and insights.
• Collaborate with engineers to conduct end-to-end analyses, from data requirement gathering to modeling.
• Interpret data using statistical techniques and provide ongoing reports for data quality validations.
• Identify untapped data sources and devise means to gather insights from them.
• Monitor key product metrics and understand root causes of changes.
• Identify, analyze, and interpret trends in complex data sets and present findings via dashboards and reports.
• Acquire data from primary or secondary sources and maintain databases for operational and exploratory analysis.
• Maintain existing data visualizations, pipelines, and dashboards.
• Automate analyses and develop pipelines using SQL, Python, Airflow, and Kubernetes-based ETL framework.
• Develop and maintain real-time data streaming and processing pipelines using Kafka.

What You’ll Bring

• Bachelor's Degree in relevant field.
• Strong knowledge of SQL and experience with multiple data architecture paradigms.
• Proficiency in ad-hoc analysis using SQL queries and Python data analysis packages.
• Proficiency in data visualization techniques and tools.
• Knowledge of various data communication protocols.
• Strong understanding of statistical techniques.
• Strong analytical skills with attention to detail.
• Strong knowledge of data warehousing concepts and data mining tools.
• Ability to work under pressure and manage competing demands.
• Excellent communication skills and ability to collaborate with different stakeholders.

Compensation and Benefits

• Competitive pay with comprehensive benefits package.
• Medical, dental, vision plans, 401(k) with employer match.
• Flexible spending accounts and employee assistance programs.
• Parental support resources and employee discounts.
• Tesla is an Equal Opportunity employer committed to diversity and inclusion.
• Reasonable accommodations are provided for individuals with disabilities.
• Privacy is a top priority, and Tesla ensures data protection throughout the application process.

Please click here to apply.

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