Reserving Analytics Actuary jobs at Tesla

• Perform regular reserving studies including preparing the data, performing the analysis, communicating the results and documenting the end-to-end process
• Explore and implement novel reserving methodologies and models, utilizing data science and analytics
• Perform on-going and ad-hoc analysis and predictive modeling exercises on claims data, and reporting on key findings and recommendations
• Develop and implement various internal and external monitoring and reporting tools
• Assist in the maintenance of the various insurance data marts used for analysis and reporting
• Provide business requirements for changes, enhancements and new features for the claims management system
• Partner with various business stakeholders, including Claims, Finance, Product, Pricing, Underwriting, Data Science, IT, and insurance leadership

• ACAS/FCAS (or equivalent designation) with 5+ years of relevant experience in reserving and claims analytics
• Strong analytical and modelling skills, with extensive experience in SQL and Python, and the ability to learn new programming languages
• Extensive experience in reserving and claims analytics, with experience in general analytics, model development and model implementation
• Self-starter with a willingness to roll up their sleeves and get involved with projects in the larger insurance organization
• Excellent written and verbal communication skills to a wide variety of audiences
• Ability to work in an unstructured environment, with strong first-principles problem-solving and project management skills
• Experience with “big data” and application development preferred

• Analyze vehicle data and extract useful statistics/insights that drive actionable recommendations to improve product performance/quality and customer experience
• Write efficient SQL/Python code and complex queries across extensive data set
• Build effective models to fuel analytical frameworks that drive material product improvements in hardware optimization, controls, and vehicle diagnostics
• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
• Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework

• Bachelor's Degree in Mechanical Engineering, Computer Science, Math, Statistics or related field or equivalent experience
• Prior internship/work experience in data analytics or related field
• Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis
• Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.
• Experience working with time-series sensors data to perform robust engineering analyses
• Good organizational skills and an ability to prioritize and manage multiple projects simultaneously to meet deadline
• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset

• Conduct both functional, integration and automated testing
• Develop and execute an automation planning and scripting strategy
• Design and develop reusable test frameworks for both UI and API testing
• Manage the integration of automated test scripts with a test management tool indicates a focus on efficient test management and reporting
• Collaborate in the overall automation effort, influence priorities, assist team members, and work closely with different teams and stakeholders
• Set up and maintaining pipelines for test execution demonstrates a commitment to automation efficiency and continuous integration/continuous delivery (CI/CD) practices

• Experience with one or more test frameworks (ex: Selenium Web driver, cypress, JMeter, etc.)
• Strong understanding of backend services and API testing methodologies
• Good knowledge of performing UI Testing
• Solid skills in SQL/MySQL database testing
• Proficiency in scripting languages i.e., Python for test automation is a key requirement
• Experience with CI/CD pipelines reflects the importance of automation in the software development lifecycle
• Familiarity with Agile development methodologies
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills to collaborate effectively with different teams and stakeholders
• Ability to adapt to new technologies and stay updated with industry trends including AI for QA

In this role, you will guide the development towards reliable new cell technologies and products. Your will manage cell lifetime and address critical design risks through both lab testing and fleet insights. You will leverage lab test results to predict the cell reliability of our products in the field and grow the confidence for decision making.

• Create models using both lab and fleet data to evaluate lithium-ion battery performance over life for new and existing cells

• Develop both standard and accelerated test protocols based on expected field scenarios and identify unique failure modes of new cell designs

• Interpret electrochemical, mechanical and other lab test data to forecast cell product field reliability and assign program risks

• Collaborate on failure analysis to understand the root cause and drive mitigation actions

• Bachelors Degree in Chemical Engineering, Materials Science/Engineering, Mechanical Engineering, Electric Engineering or equivalent experience

• Strong understanding of lithium-ion cell chemistry and degradation mechanism

• Strong Programming skills and experience in Python, etc.

• Experience on statistical analysis preferred

• Excellent written and verbal communication skills

• Perform regular reserving studies including preparing the data, performing the analysis, communicating the results and documenting the end-to-end process
• Explore and implement novel reserving methodologies and models, utilizing data science and analytics
• Perform on-going and ad-hoc analysis and predictive modeling exercises on claims data, and reporting on key findings and recommendations
• Develop and implement various internal and external monitoring and reporting tools
• Assist in the maintenance of the various insurance data marts used for analysis and reporting
• Provide business requirements for changes, enhancements and new features for the claims management system
• Partner with various business stakeholders, including Claims, Finance, Product, Pricing, Underwriting, Data Science, IT, and insurance leadership

• ACAS/FCAS (or equivalent designation) with 5+ years of relevant experience in reserving and claims analytics
• Strong analytical and modelling skills, with extensive experience in SQL and Python, and the ability to learn new programming languages
• Extensive experience in reserving and claims analytics, with experience in general analytics, model development and model implementation
• Self-starter with a willingness to roll up their sleeves and get involved with projects in the larger insurance organization
• Excellent written and verbal communication skills to a wide variety of audiences
• Ability to work in an unstructured environment, with strong first-principles problem-solving and project management skills
• Experience with “big data” and application development preferred

Using knowledge of the software, customer behaviors, and real-world fleet exposure, you will identify failure modes with precision and urgency, develop fleet data-driven requirements for diagnostics and prognostics, and inform system design decisions. You will collaborate cross-organizationally with software, mechanical, and electrical teams to define the confidence metrics and rollout strategy for new safety-critical algorithms. You will develop dashboards to visualize fleet data trends and ensure cross-organizational alignment on behaviors and critical metrics.

• Analyze vehicle data and extract useful statistics and insights to drive actionable updates to the software, product performance, quality, and customer experience

• Write efficient SQL/Python code and complex queries across extensive data sets

• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

• Work with the software developers to implement additional diagnostics, alerts, or software changes.

• Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework

• Bachelor's Degree in Mechanical Engineering, Computer Science, Math, Statistics or related field, or equivalent experience

• Prior internship/work experience in data analytics or related field

• Demonstrable engineering fundamentals in vehicle chassis systems or automotive physics.

• Proven proficiency in SQL and Python for writing efficient queries, data manipulation, and analysis

• Working knowledge of data visualization techniques and tools using Matplotlib, Seaborn, etc.

• Experience working with time-series sensors data to perform robust engineering analyses

• Demonstrated ability to take on projects with a sense of ownership and entrepreneurial mindset

• Build awesome web experiences using React.js
• Plan and accommodate all mediums, screen sizes and device types
• Build flexible and customizable user interface from the start
• Promote good usability and accessibility in every experience
• Design web applications to display complex data in digestible form
• Be nimble and react quickly to changing business conditions
• Work with Product Managers, Content Producers, QA Engineers and Release Engineers to own solution from development to production

• A Bachelor’s Degree in Computer Science, IT or related fields or equivalent experience
• 4+ years solid expertise in developing rich, interactive, and well-performing user interfaces using React.js
• Expert in building complex, highly scalable, responsive, and loosely coupled consumer-facing web applications to support users at scale
• Expertise in latest web technologies: JavaScript, TypeScript, HTML5, CSS3, Bootstrap, Node, Webpack, Vite
• Experience with charting libraries like d3, Echarts is preferred
• Experience in creating pure web components and creating reusable npm components is preferred
• Experience in writing unit test cases (Jest, Jasmine) for performance and functionality testing
• Experience with source control management git/bitbucket and standard CICD tools using docker and Kubernetes