Staff Scientist, Tech

About the team

The Core Analytics & Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider and driver experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.

About the Role

You'll be the Science Tech Lead (Individual Contributor) for a team of 5-7 members based in India, working closely with Engineering and Product leads to create and execute the direction of the product development. This includes crafting machine learning, statistics, or analytical solutions to achieve business goals, guiding the team's direction through data-driven insights and algorithmic thinking, mentoring scientists and establishing cross functional relationships with partner teams at different locations.

Basic Qualifications

• Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.
• 9+ years of industry experience as an (Applied / Data) Scientist or equivalent.
• Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
• Experience in experimental design and analysis.
• Proficiency using Python, Spark at scale with large data sets.
• Experience with tools like SQL, R in a production environment.

Preferred Qualifications

• Master’s/Ph.D. Degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.
• Experience in tech or marketplace industries.
• Experienced in partnering with cross-functional stakeholders to execute decisions.
• Ability to mentor, coach and develop junior team members.
• Superb communication and organisation skills.

What the candidate will do

• Collaborate with Engineering and Product leadership to define the technical vision and guide team direction by identifying opportunities and creating data-driven solutions.
• Design innovative solutions and develop prototypes for business challenges using machine learning and statistical algorithms. Establish and guide data analysis and experimentation frameworks to generate business insights and support decision-making.
• Work closely with Engineering and Product teams to deploy models, improve data observability and metrics, and execute experiments and detailed analyses.
• Design and evaluate A/B tests, switchback experiments and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights.
• Partner with Scientists and Engineers to build and enhance the availability, integrity, accuracy, and reliability of data logging and data pipelines.
• Provide mentorship and technical leadership to other Scientists, promoting a culture of statistical excellence and continuous learning.
• Communicate effectively with leadership and cross-functional teams, presenting the Science team's work on models, solutions, and data analytics outcomes.

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 accommodations@uber.com.