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Job Location: Austin, TX
Job Detail:
What To Expect
We’re the New Product Introduction Team at the one of the world’s largest manufacturing facilities located in Austin, TX. This small but fast-growing central team helps coordinate cross functional teams to leverage the data we collect. We help product and process engineers through direct support by doing data analysis and understanding how they need to align on managing change.
We’re looking for a talented individual to join us in providing leadership in the definition and implementation of processes and tools to enable data science at Tesla. Your work will affect Tesla engineers and production teams daily, the profitability of the company, as well as improve the functionality of products we produce now and in the future. In this position, you will be responsible for retrieving, analyzing, and summarizing results to share with cross-functional teams.
As a data scientist on the New Product Introduction team, you will be responsible for architecting and designing the data interactions and dashboarding, that prevents errors from occurring as we manage change to drive improvements in our world class products. We are looking for a leader who is goal-oriented, results driven, and data-centric.
Data is deeply embedded in the product engineering and manufacturing culture at Tesla. We rely on data – lots of it – to improve, to optimize, to proactively detect, to allow the right decisions to be made, at the right time.
What You’ll Do
- Build robust, flexible, and automated software tools to enable complex analysis of real-time data
- Answer complex questions on change impact to manufacturing
- Cross communicate information from multiple data storage locations
- Work closely with engineering, manufacturing, supplier, and IT teams
- Contribute to the automation and standardization of our data pipelines
- Build visualizations to effectively communicate
- Analyze and determine the optimal solutions for change coordination with manufacturing, other Tesla plants, and suppliers (including EBOM, MBOM, etc)
- Provide thought leadership in analytics, modeling, and drive to promote team’s capability and output. Mentor team members and collaborate internally and externally to solve business problems
- Develop and program manage implementation of solutions and business processes that are optimized for speed, accuracy, cost efficiency, capacity, and flexibility
- Develop decision support systems, tools, and models that are scalable and reproducible to assist in strategizing growth and decision making for Tesla
- Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions
- Summarize and clearly communicate data analysis assumptions and results
- Build data pipelines to promote your ad-hoc data analyses into production dashboards that engineers can rely on
- Design and implement metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights
- Work with engineers to drive usage of your applications and tools
- Write clean and tested code that can be maintained and extended by other software engineers
- Operate and support your production applications
- Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage
- Identify trends, invent new ways of looking at data, and get creative in order to drive improvements in both existing and future products
What You’ll Bring
- Bachelor’s degree or higher in quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or the equivalent in experience and evidence of exceptional ability
- Strong knowledge of data structures, architectures, and languages such as SQL
- Experience and interest in data visualization techniques
- Ability to problem solve and adjust priorities with little advance notice to meet deadlines
- Strong verbal and written communication skills
- 3-5 years of experience in data design and dashboard development
- Experience with statistical software (R), database languages (SQL), simulation tools (ARENA, AnyLogic, FlexSim), data visualization tools (e.g., Tableau, Power BI, d3.js)
- Ability to thrive in a fast-moving and constantly evolving high growth environment
- Comfortable in an environment with unstructured, incomplete, and ambiguous data
- Strong foundation in statistics
- Experience building data visualizations
- Experience writing software in a professional environment
- Curious and driven to solve complex problems
- Smart but humble, with a bias for action
- Strong engineering skills and proven track record of exceptional ability (i.e. you personally solved difficult problems that moved the needle on meaningful projects)
- Some familiarity with deep learning fundamentals; experience training for neural networks and analyzing results
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- LGBTQ+ care concierge services
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
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