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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