Applied Scientist • Mid-Level

Who you are

You have 4+ years of professional experience and a demonstrated interest in quantitative analysis of legal, economic, or policy issues — you've utilized data science tools to query and analyze data at scale, particularly using SQL, Python, and R. Your ability to collaborate and communicate effectively allows you to build a deep understanding of complex data and convey insights to diverse stakeholders, including lawyers and regulators.

You thrive in an inclusive and diverse team environment, where you can both influence and be influenced by your colleagues. Your analytical mindset enables you to evaluate and quantify risks using various quantitative methods, contributing significantly to the work of the Legal Team and other departments.

Desirable

Experience with data pipelines and statistical modeling is a plus, as is familiarity with legal data and its implications in real-world scenarios. You are eager to learn and adapt to new data science tools and methodologies, enhancing your contributions to the team.

What you'll do

In this role, you will build a nuanced understanding of Uber’s large and unique data, communicating your insights to lawyers and other stakeholders. You will propose, design, and execute data analyses, data pipelines, and statistical models that inform and advance the work of our Legal Team. Your work will involve analyzing large datasets to answer legal questions and inform legal arguments with data.

You will collaborate closely with legal, compliance, and security professionals, harnessing the power of data science to enhance modern legal work. Your contributions will help shape the legal strategies at Uber, ensuring that data-driven insights are at the forefront of decision-making processes.

What we offer

Uber provides a dynamic work environment where you can grow as a data scientist while making a meaningful impact on legal processes. You will have the opportunity to work with cutting-edge tools and technologies, and be part of a team that values collaboration and innovation. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need to drive our mission forward.