Experienced Data Scientist for Innovative Electric Vehicle and Clean Energy Solutions - Full-Time Remote Opportunity in Texas, USA

Introduction to Tesla and the Role

Tesla, a pioneer in electric vehicle technology and clean energy solutions, is seeking a highly skilled and motivated Data Scientist to join its team. As a Data Scientist at Tesla, you will play a crucial role in driving the company's mission to accelerate the world's transition to sustainable energy. You will be responsible for developing and implementing data-driven solutions to improve the efficiency and effectiveness of Tesla's operations, products, and services. This is a unique opportunity to work with a talented team of professionals who are passionate about making a positive impact on the environment and the future of transportation.

Job Summary

We are looking for a talented Data Scientist to join our New Product Introduction team. As a Data Scientist, you will be responsible for designing and developing data communications and dashboarding to prevent errors and drive improvements in our elite products. You will work closely with cross-functional teams, including engineering, manufacturing, and IT, to analyze and summarize results, identify trends, and provide data-driven insights to inform business decisions. If you are a motivated and results-driven individual with a passion for data science and a desire to make a difference, we encourage you to apply for this exciting opportunity.

Key Responsibilities

• Build robust, flexible, and automated software tools to enable complex analysis of real-time data
• Answer complex questions on change effect on manufacturing and provide data-driven insights to inform business decisions
• Cross-deliver data from different data storage areas and develop representations to communicate results effectively
• Work closely with engineering, manufacturing, supplier, and IT teams to identify opportunities for improvement and implement data-driven solutions
• Contribute to the automation and standardization of our data pipelines and develop decision support systems, tools, and models to drive business outcomes
• Provide thought leadership in analysis, modeling, and data science to advance the team's capabilities and results
• Guide colleagues and collaborate internally and externally to solve business problems and drive improvements
• Develop and program manage the execution of plans and business processes that are optimized for speed, accuracy, cost efficiency, capacity, and flexibility
• Build information pipelines to advance ad-hoc data analyses into production dashboards that specialists can rely on
• Design and execute metrics, applications, and tools that will enable engineers to self-serve their data insights
• Work with architects to drive the adoption of your applications and tools
• Write clean and tested code that can be maintained and extended by other programmers
• Support and maintain your production applications and stay up-to-date on relevant technologies and methodologies

Essential Qualifications

• Bachelor's degree or higher in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent experience and evidence of exceptional ability
• Solid knowledge of data structures, architectures, and languages like SQL
• Experience and interest in data visualization procedures
• Ability to issue solve and adapt to changing needs with minimal notice to meet deadlines
• Strong verbal and written communication skills
• Experience with statistical programming (R), database languages (SQL), simulation tools (Field, AnyLogic, FlexSim), and data visualization tools (e.g., Tableau, Power BI, d3.js)

Preferred Qualifications

• Experience building data visualizations and developing decision support systems
• Experience writing software in a professional environment
• Curious and driven to solve complex problems
• Intelligent but humble, with a bias for action
• Strong engineering skills and a proven track record of exceptional ability (e.g., you personally solved difficult problems that made a significant impact on major projects)
• Some knowledge of deep learning fundamentals; experience training and exploring results

Skills and Competencies

To be successful in this role, you will need to possess a combination of technical, business, and interpersonal skills. These include:

• Strong analytical and problem-solving skills
• Ability to communicate complex technical concepts to non-technical stakeholders
• Experience working with cross-functional teams and collaborating with stakeholders at all levels
• Strong programming skills and experience with data science tools and technologies
• Ability to adapt to changing priorities and deadlines in a fast-paced environment
• Strong business acumen and understanding of the electric vehicle and clean energy industries

Career Growth Opportunities and Learning Benefits