SENIOR DATA SCIENTIST - FRAUD & PAYMENTS

About the Role We're looking for a Data Scientist to join our Core Services Data Science team to provide data expertise as we work to make this world a safer place to move around.
This will be a highly cross-functionally role that will work closely with operations, engineering, product management, and partner data teams.
You will build out and own operations metrics, provide key insights, conduct deep dive analysis to understand new opportunities and present findings, and work with partners on coming up with new policy and product solutions while measuring impact.
You will play an influential role in helping drive critical product and policy decisions.
What You'll Do Refine ambiguous questions and generate fresh hypotheses about our product and business landscape, drawing on a deep understanding of our data, customers, and business dynamics.
Define success metrics by crafting Key Performance Indicators and other user/business metrics in close partnership with Product and other relevant teams like engineering, operations, and marketing.
Team up with data scientists and engineers to enhance the availability, integrity, accuracy, and reliability of data logging and pipelines.
Derive data-driven business insights and collaborate with cross-functional partners to uncover opportunities and prioritize product, growth, and optimization initiatives.
Design and interpret results to glean detailed and impactful conclusions.
Strong storytelling.
distill interesting and hard-to-find insights into a compelling, concise data story Communicate effectively and nurture relationships with partners hailing from both technical and non-technical backgrounds.
Exhibit advanced expertise in experimental design and statistical methods, including causal inference.
Take on complex business challenges spanning multiple product/project areas and teams, striking the perfect balance between attention to detail and swift execution.
What You'll Need M.
.
or Bachelor's degree in Statistics, Economics, Math, Engineering, Computer Science, or another quantitative field; Advanced English; Advanced SQL skills; Experience in a data-focused role, such as data science, analytics or management; Familiarity with experimental design (e.
.
A/B testing) and statistical methods; Expertise in defining, measuring and communicating performance metrics that drive business impact; Experience with dashboarding and data visualization tools such as Tableau, Mixpanel, Looker, or similar; Prior background in risk, fraud and/or payments are a plus.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.
If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
Offices continue to be central to collaboration and Uber’s cultural identity.
Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time.
Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.
To request an accommodation, please reach out to .