Staff Scientist Eats Growth jobs at Uber

About the Role

In this role within the UK&I Central Operations team, you’ll be at the heart of solving these complex problems. Leveraging data-driven insights, you'll collaborate closely with cross-functional teams—including Commercial, Finance, Data Science, and Product—to drive operational excellence and deliver an exceptional experience for both customers and couriers.

What the Candidate Will Do

• Own key aspects of our UK operations - such as delivery times, order completion rates, and throughput - to ensure a seamless experience for consumers, couriers, and merchants.
• Partner with global product teams to shape, test, and launch new features (e.g. enhanced matching algorithms, innovative customer propositions, autonomous deliveries).
• Use data-driven analysis to identify opportunities to improve our operations, and bring these opportunities to life through experimentation and continuous optimisation
• Build and optimise UK marketplace processes to ensure operational excellence (e.g. determining store level delivery areas, ensuring we have the right amount of courier supply)
• Collaborate with senior commercial stakeholders to improve account-level performance, using marketplace insights to inform strategy and support commercial decision-making

Basic Qualifications

• Quantitative degree in STEM, Economics or similar
• 3+ years experience in operations/ analytics/ product ideally within a tech or strategy consultancy firm
• Strong commercial mindset with the ability to build compelling business cases to support recommendations
• Robust data analysis and technical skills, including advanced SQL to source data from large, complex data sources
• Excellent communication skills (both written and spoken)

Preferred Qualifications

• Able to use Python to perform data analysis (e.g. data manipulation, regression modeling)
• Experience working with a wide range of functional stakeholders (Product, Engineering, Commercial, Finance, Legal)

* 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 .

What the Candidate Will Do

1. Strategic Ownership: Proactively identify business needs and issues for Moto and UberGo. Prioritize projects for the team to define the best path to meet strategic objectives. Motivate the team by explaining the big-picture context and aligning their work with the broader company vision
2. Business Sense & Problem Solving: Translate insights from operational and financial metrics into strategy and action plans. You will identify the root cause of risks and opportunities and propose multiple practical solutions. You'll advise leadership on tough trade-offs and propose solutions that may involve several teams with a strong impact.
3. Team Leadership: Empower your team to implement, optimize, and scale core analyses and processes. You will be responsible for delegating tasks and responsibilities to appropriate team members
4. Product & Cross-functional Collaboration: Partner with global and local teams on high-impact and critical initiatives. You will maintain strong working relationships with partners across operations, marketing, customer support, product, policy, and legal to execute new product launches
5. Execution: Oversee the execution of local improvements to ensure market growth and reliability for low-fare products. Monitor metrics to ensure business performance and support decision-making with a strong analytical approach

Basic Qualifications

1. Data-Driven Mentality: You must be able to make strategic decisions based on data analysis and interpretation which includes having experience with data analysis and the ability to interpret and present data to various audiences
2. Communication: Demonstrated experience interpreting and presenting data in an engaging and comprehensive manner. You should be able to advocate for your team and ensure its voice is heard
3. Teamwork: A track record of promoting a team environment where individuals can communicate freely and contribute. You should be able to maintain healthy working relationships, even in disagreement, and actively seek out diverse opinions and feedback
4. Planning & Organization: The ability to plan complex, multi-faceted projects, defining timelines, deliverables, interdependencies, and resource allocation
5. Professional Experience: Five or more years of professional experience, with at least two years in a role that involved people management

Preferred Qualifications

1. Stakeholder management: Involving Public Policy, Legal, and Communication teams
2. Product Acceleration: Experience growing products from 1-100
3. Data analysis tools: SQL, Phyton, and visualization tools

* 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 .

About the Role

As a Mid-Market Growth Account Executive, you will be responsible for driving revenue growth and increasing operational and commercial excellence with our existing customers. As a Growth Account Executive, you will work closely with current customers in the Mid-Market segment (<2500 employees) to understand their unique challenges and goals, acting as a consultative partner on the Uber for Business platform. You will own the relationship and growth strategy by identifying upsell and cross-sell opportunities, negotiating deals that are mutually beneficial, and getting commitment from senior decision-makers.

This role is hybrid in nature making this a perfect fit for a seller with a hunter mindset and excellent relationship and account management skills.

The Impact You'll Have

• Develop a comprehensive view of the client that includes their business priorities, competitive edge in the marketplace, industry trends, and key strategic partner relationships.
• Grow and retain a book of business and proactively identify expansion opportunities to drive growth across multiple lines of business, products, and services for customers to exceed revenue goals. (Increase adoption and usage of our current programs, expand to new offices or departments, or cross-sell new product offerings)
• Negotiate contract renewals, amendments, and expansions by collaborating with cross-functional teams and owning the discussion with the client.
• Build, enhance, and implement long-term client relationships and communication at the C-level, with executives, key decision-makers, and influencers. Ensure our partners have an exceptional experience with Uber for Business.
• Conduct quarterly business reviews to illustrate the adoption of our platform and drive the conversation towards opportunities to expand the partnership and spend with Uber.

The Experience You'll Bring

• Minimum of 2 years of sales experience within a quota carrying role as an Account Manager with a focus on growing revenue within a book of business and / or as an Account Executive with end-to-end sales experience
• Demonstrated success of hitting sales quotas based on revenue growth
• Excellent communication and interpersonal skills, with the ability to identify and provide comprehensive solutions for varying customer needs
• Bachelor’s Degree
• Experience with tools such as Salesforce, ZoomInfo, Groove, LinkedIn Sales Navigator, Tableau, Google Suite
• Strong prioritisation skills: able to manage time effectively, prioritising high-value clients, while working with multiple customers to deliver on goals and improve processes.

* 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 .

• Collaborate with a high-value portfolio of restaurant partners to retain and grow a book of business of SMB accounts on the Uber Eats platform
• Identifying new sales opportunities through product adoption and location expansion
• Identify opportunities and recognize additional revenue potential
• Identify key risks to our partnerships, and work quickly and diligently to ensure we are delivering the best possible experience for our partners and to ensure 100% account retention
• Collect and synthesize restaurant partner feedback into insights that can inform and drive the product and business roadmap
• Build meaningful, lasting relationships to make Uber Eats the delivery platform of choice for our restaurant partners

Basic Qualifications

• At least 1 year of experience in a B2B, client facing role (Sales, Customer Success, Account Management, or upper management retail/food industry)

Preferred Qualifications

• Experience navigating the customer lifecycle including prospecting new contacts within an existing client organization
• Self-starter attitude and ability to thrive in a fast-paced, autonomous team environment
• Strong interpersonal skills, with the ability to clearly frame a value proposition, probe for objections, remove obstacles, and eliminate barriers to gain commitment
• Willingness to hustle, roll-up sleeves, and get in the weeds with our highest value partners in order to hit quarterly and annual revenue, retention, and adoption targets
• Ability to think strategically and analyze restaurant needs to both unlock opportunities and creatively problem-solve
• Demonstrate time management and organizational skills with the ability to multitask and prioritize based on impact CRM experience (Salesforce experience a plus)
• Google Suite Experience is highly preferred

For Miami, FL-based roles: The base hourly rate range for this role is USD$24.50 per hour - USD$25.80 per hour.

You will be eligible to participate in Uber's bonus program, and may be offered sales bonuses & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

You’ll tackle some of the most complex problems in applied machine learning: real-time pricing optimization, supply-demand balancing, and driver behavior modeling at unprecedented scale. Your work will involve cutting-edge techniques including causal inference, reinforcement learning, algorithmic game theory, and multi-objective optimization to solve challenges that don’t exist anywhere else in the industry.

As a Senior Staff ML Engineer reporting directly to the Engineering Director, you’ll drive technical strategy, mentor senior engineers, and establish ML engineering excellence across the Driver Pricing organization while solving problems that directly impact tens of billions of dollars in marketplace transactions.

Technical Leadership & Innovation

• Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
• Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
• Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
• Own end-to-end ML model lifecycle from research through production deployment and continuous optimization

Platform & Architecture

• Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
• Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
• Establish ML engineering best practices, monitoring, and operational excellence across the organization
• Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms

Cross-Functional Impact

• Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
• Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
• Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards
• Influence technical roadmaps across multiple teams through technical leadership and strategic thinking

Team Development

• Mentor and grow senior ML engineers, establishing technical standards and engineering culture
• Lead technical discussions and architecture reviews for complex ML systems
• Drive knowledge sharing and technical excellence across the Driver Pricing engineering organization

• PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
• 10+ years of experience building and deploying ML models in large-scale production environments
• Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
• Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
• Proven track record of leading complex ML projects from research through production with significant measurable business impact
• Strong programming skills in Python, Java, or Go with experience building production ML systems
• Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
• Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

• Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanisms
• Publications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamics
• Experience with causal inference methodologies and their application to business problems with network effects
• Reinforcement learning experience in production environments with long-term optimization and strategic agent considerations
• Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
• Experience with real-time ML systems requiring low-latency inference and high-throughput model serving
• Background in economics, operations research, or related quantitative disciplines with application to marketplace problems
• Experience with Ads ranking and auction systems with strategic bidding agents and real-time optimization

Required:

• Advanced Deep Learning and Neural Network architectures
• Scalable ML architecture and distributed model training
• Feature engineering and real-time feature serving
• ML model deployment, monitoring, and lifecycle management
• Statistical analysis and experimental design for ML systems
• Causal Machine Learning and causal inference methodologies
• Reinforcement Learning and Multi-Armed Bandits
• Multi-objective optimization and Pareto efficiency
• Algorithmic Game Theory for strategic agent modeling

Preferred:

• Personalization and ranking systems at scale
• Time series forecasting and demand prediction
• Graph-based ML for network effects modeling
• Experience with Ads ranking and auction systems

For New York, NY-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.

About the Role

The Courier & Marketplace West team is on a mission to drive sustainable growth and operational excellence across California and the Pacific Northwest. We work on high-impact, data-driven projects tailored to the unique dynamics of each local market-ranging from strategic courier supply initiatives to custom city-specific campaigns. As a Territory Operations Manager, you’ll play a critical role in executing local strategy, solving complex problems, and shaping the future of delivery services in the region.

What You'll Do

• Own day-to-day operational performance across multiple cities within the West territory, with a focus on Courier and Marketplace metrics
• Analyze large data sets to identify performance gaps, build strategic plans, and execute initiatives to close them
• Collaborate closely with Strategic Ops, Legal, City Managers, and Policy to ensure execution is both effective and compliant with local regulations
• Localize national or global strategies by designing and launching city-specific campaigns tailored to unique market conditions
• Identify and resolve systemic issues by coordinating with Tech, Support, and Product to implement scalable solutions

Basic Qualifications

• 3+ years of experience in operations, strategy, consulting, or a fast-paced tech environment
• Strong analytical skills with demonstrated proficiency in SQL and Excel, and the ability to generate insights from data to drive decision-making
• Proven ability to influence cross-functional stakeholders, manage execution of large initiatives, and adapt quickly in dynamic, ambiguous environments
• Bachelor's degree

Preferred Qualifications

• Proficiency in data tools such as SQL, Excel, and dashboarding platforms like Tableau; Python is a strong plus
• Experience deploying operational strategies or product rollouts in a multi-city environment, with a focus on experimentation and iteration
• Familiarity with regulatory or policy landscapes in California or the Pacific Northwest, particularly in the gig economy or delivery sector
• Background in consulting, tech startups, marketplaces, or retail operations with a track record of handling cross-functional projects in high-ambiguity environments

For San Francisco, CA-based roles: The base salary range for this role is USD$129,000 per year - USD$143,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

About the Role

Your primary mission will be to architect a world-class search ecosystem for all Uber employees. This requires a dual-pronged technical strategy: leading the in-house development of novel AI components while also conducting deep evaluations of cutting-edge third-party solutions. You will be the key technical decision-maker on when to build and when to integrate.

- - - - What the Candidate Will Do ----

1. Architect the Ecosystem: Design and own the technical vision for Uber's next-generation enterprise search platform, creating a cohesive strategy that integrates first-party AI models with best-in-class third-party technologies.
2. Lead AI Implementation: Drive the exploration and implementation of advanced AI capabilities. This includes architecting conversational interfaces, enabling multi-step reasoning, and bringing agentic AI functionalities to our users, whether through in-house development or strategic integration.
3. Make Critical Build-vs-Buy Decisions: Conduct deep technical evaluations of industry-leading AI solutions. You will own the process of vetting vendors, prototyping integrations, and providing clear recommendations to leadership.
4. Lead and Mentor: Lead a world-class team of software and machine learning engineers. Provide technical guidance, conduct architectural reviews, and foster a culture of innovation and engineering excellence.
5. Build and Integrate: Remain hands-on, writing production-quality code for critical custom components, integration layers, and core platform infrastructure.
6. Collaborate and Influence: Work closely with senior leadership, product managers, and stakeholders across the company to define the roadmap and ensure your team's work aligns with Uber's strategic goals.

- - - - Basic Qualifications ----

1. Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
2. 8+ years of professional experience in software engineering, with a proven track record of shipping complex.
3. Strong programming proficiency in Python and experience with systems programming languages (e.g., Go, Java, C++).
4. Significant experience in designing and building production systems leveraging machine learning, especially in Search, NLP, or Conversational AI.
5. 2+ years of experience in a formal or informal technical leadership role, including mentoring engineers and setting technical direction for a team.

- - - - Preferred Qualifications ----

1. Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2. Experience architecting systems that involve Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases.
3. Demonstrated experience making strategic build-vs-buy decisions and integrating large-scale third-party software or SaaS platforms into a complex enterprise environment.
4. Experience with the architecture of AI agentic systems or complex, multi-step LLM-powered workflows (either through building or integration).
5. Expertise with both traditional search technologies (e.g., Elasticsearch) and modern semantic search paradigms.
6. Excellent communication skills, with the ability to articulate complex technical trade-offs to diverse audiences and influence technical strategy at a senior level.
7. A strong product intuition and a passion for creating user-centric AI experiences that solve real-world problems.

* 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 .