The Business Analytics team’s mission is to enable a data driven business and generate values from our data. The team is responsible for providing insights around our business and its associated processes, as well as customers and products. The team directly supports business leaders from our retail locations and at the headquarter, and up to our executive team.
We are looking for a hands-on data scientist who can lead key cross-functional projects for both energy and automotive business using data science tools and techniques to drive business process automations and support sales & service strategies by leveraging our data.
Contribute to all the stages of data science projects: from translating a complex business problem into a data science problem to performing data analysis & modeling, and providing solutions to the business.
Develop and maintain complex data pipelines, supporting our team’s mission in democratizing data and enabling a data driven organization, partnering with Data Analysts, Data Engineers, Machine Learning (ML) Engineers, and Product Managers.
Effectively communicate actionable insights to all levels of the organization with varying degree of data science understanding and backgrounds.
Collaborate closely with leadership, engineering, and other stakeholders to deliver impactful business insights.
Apply various ML, advanced analytics and visualization techniques to various datasets across the company.
MS. or 2+ years of equivalent experience in a quantitative field (e.g. Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Computer Science, Artificial Intelligence, Economics or Engineering).
Results oriented with strong business acumen and in-depth data science skills.
Strong written, verbal, and interpersonal communication skills. Ability to communicate effectively at all levels in the organization.
Proven track record of extracting data insights and building ML models and, especially in business analytics (or related) domain. Uplevel team’s ML capabilities in one or more major areas (e.g. forecasting, predictive modeling, descriptive analytics, or Natural Language Processing (NLP)).
Expert in SQL and Python, especially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc.
Proficiency in one or more visualization tools such as Tableau, Streamlit etc.
Expert in data wrangling and analyzing massive and complex datasets, structured or unstructured.
Ability to self-start and work independently in an unstructured environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1.
Excellent problem-framing, problem solving and project management skills as well as ability to change direction quickly.
Ability to manage and prioritize multiple projects.
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$80,000 - $258,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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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