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 is a cross-functional role within a global team that will work closely with product management, safety operations, engineering, and partner data teams. The work has a global scope, with different cultural and regional aspects considered for each of the studies.
Uber's Stand for Safety value shows the importance and relevance of Safety here:
"We embed safety into everything we do. Our relentless pursuit to make Uber safer for everyone using our platform will continue to make us the industry leader for safety. We know the work of safety never stops, yet we can and will challenge ourselves to always be better for the communities we serve."
What You'll Do:
Take on complex business challenges spanning multiple product/project areas and teams, striking the perfect balance between attention to detail and swift execution.
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.
Derive data-driven business insights and collaborate with cross-functional partners to uncover opportunities and prioritize product, growth, and optimization initiatives.
Communicate effectively and nurture relationships with partners hailing from both technical and non-technical backgrounds.
Utilize a vast set of tools and techniques in order to resolve business problems and communicate effectively with strong storytelling, using data pipelines, dashboards, queries, notebooks, experiments, causal inference, statistical methods, design metrics, spreadsheets & slides.
What You'll Need
Advanced English;
M.S. or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields;
Advanced proficiency in SQL;
Familiarity with Python or R;
Familiarity with experimental design (e.g., A/B experiments) and statistical methods;
Experience with dashboarding and data visualization tools such as Tableau, Looker or similar;
Ability and experience in extracting insights from data, and summarizing findings / takeaways;
Experience with product analytics is highly preferable.
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.
#J-18808-Ljbffr