Data Scientist, Logistics

Data Scientist, Logistics

Job Category
Operations & Business Support
Fremont, California
Req. ID
Job Type

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The Role

Effective logistics is critical for Tesla to function. Considering Master Plan, Part Deux, logistics will be even more essential to the future Tesla will create.

We currently move raw materials and components, and we manufacture vehicles and energy products. As we scale global operations and create new products, every aspect of our logistics will expand. From an autonomous shared fleet, to trucks and the Tesla semi, we will be able to redefine what logistics means.

As a Data Scientist on the Tesla logistics team, you will help us define this future, and realize it. You will be central to transforming operations into an efficient model that only Tesla can create. You will be a key thought partner in building the future.


·           Immerse yourself in Tesla’s logistics data, becoming a subject-matter expert and elevating data into a first-class citizen.

·           Inform the strategy behind data generation and data collection – eg what new data should we collect, what trends are we missing, and where else can we be creative?

·           Write reproducible data analysis over petabytes of data.

·           Leverage and contribute to open source technologies, informing how we iterate and enhance existing tools.

·           Design, create, and train models that predict future performance, and identify opportunities for optimization.

·           Collaborate with data engineers and data analysts to design and iterate on ETL’s that enable ad hoc research, dashboard creation, and net new applications.

·           Give talks, contribute to open source projects, and advance data science and logistics on a global scale.

·           Educate others on statistical analysis and scientific investigation.


·         Evidence of exceptional ability in the set (or a subset) of engineering, computer science, applied mathematics, statistics, and operations research.

·         4+ years of building models and developing algorithms for real-world experiments and data-driven optimizations.

·         Depth in linear algebra, algorithms, machine learning, data mining, causal inference and other quantitative tools.

·         Mastery of data access and manipulation across databases such as SQL, NoSQL, Postgres, Redshift, etc.

·         Expertise doing statistics and mathematics analysis via tools such as Python, R, Matlab, SAS, and associated machine learning libraries such as TensorFlow, keras, PyTorch, etc.

·         Expertise measuring and iterating to improve model performance.

·         Experience with experimental design and A/B testing is desirable.

·         Excellent communication and interpersonal skills, and a proven ability to work effectively with non-technical stakeholders.

·         Able to work under pressure while managing competing demands and tight deadlines.

·         Well organized with attention to detail.


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About Tesla

Tesla is accelerating the world’s transition to sustainable energy. We design, manufacture, sell and service the world’s best solar technology, energy storage systems, and electric vehicles, providing customers the opportunity to generate, store and consume energy entirely sustainably.

Tesla is committed to hiring and developing top talent from around the world for any given discipline. Based in California, Tesla’s workforce spans across four continents. We work to build an inclusive environment in which all people, regardless of gender, race, religion, or background, can come to do their best work.

Our world-class teams operate with a non-conventional philosophy of inter-disciplinary collaboration. Each member of the team is expected to challenge and to be challenged, to create, and to innovate. We’re tackling the world’s most difficult and important problems—and we wouldn’t succeed without our shared passion for making the world a better place.

Learn More About Tesla

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

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