Director Science - Marketplace Matching & Driver Pricing 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 .

About the Role

You will be primarily responsible for driving projects which promote,,and
improved E2E driver experience. Combined, delivering step-changes in these areas aims to directly impact accelerated growth and competitiveness in the region.

These are some of the activities you can expect in your day-to-day:

1. Own projects and support development of the strategy and tactics to deliver:
2. Improved reliability across the region, through driver behavior and quality improvements
3. Platform loyalty and improved on-platform engagement initiatives
4. First class driver experience with the platform on earnings, pain points, etc.
5. Operational or product enhancements; address key quality issues affecting driver experience with cross-functional initiatives
6. Collaborate with Tech to test and rollout features, and lead the GTM strategy
7. Monitor engagement and experience on the platform through analytics and insights gathering, deep-diving into reasons for underperformance and identify and act on improvement areas
8. Work closely with several operational and functional teams including EMEA regional operations teams, Safety, Marketing, Legal, Business Development, Policy & Comms teams as well as Tech stakeholders across the business to deliver projects.

What the Candidate Will Need:

1. Min 3 years of experience in strategy, operations, consulting, finance, or general management roles.
2. Strong analytical and problem-solving skills; confident using data to make decisions and build business cases.
3. Fluency in SQL and in working with data sets using Excel, Google Sheets, etc.
4. Proven ability to manage complex programs and multiple projects in parallel.
5. Good communication skills and stakeholder management—able to align diverse teams around shared goals.
6. Ability to work in a fast paced environment and to prioritize effectively.
7. Professional fluency in English.

- - - - Preferred Qualifications ----

1. Familiarity with AI or automation tools.
2. Comfortable building models or dashboards in R, Python, or Tableau.
3. Experience working with Product teams to shape or launch new solutions.
4. Proven ability to collaborate with cross-functional teams such as Tax, Legal, or Compliance.
5. Background in central or local operations, especially managing a portfolio of initiatives.

* 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 you'll do:

• Pitch, sell and negotiate the newest product in the U4B portfolio to diverse decision makers inside SMB companies in every industry.
• Prospect new leads and opportunities to build and maintain a strong pipeline.
• Hit bi-annual and quarter targets (quota carrying role).
• Construct, forecast, and run your sales pipeline via Salesforce CRM.
• Develop your sales skills: Probe for objections, remove obstacles, and eliminate barriers to gain commitment with customers.
• Work with a unique multifunctional team inside one of our most important lines of business.
• Contribute on building and developing a new U4B product launch in the region.
• Participate in periodic team reviews and updates on business progress, best practice sharing etc.
• Create documents like process playbooks, performance trackers etc. to help the team scale efficiently.

• 2+ years of B2B experience, with at least 1 years in an Account Executive role or equivalent. SaaS experience is a plus.
• Bachelor's degree in business administration or related field
• Proficiency in English
• Excellent verbal and written communication skills
• Proven track record of growing a customer base and exceeding revenue targets and company goals
• Self-starter, comfortable working autonomously with high volume and under pressure typical of SMB sales
• Proficiency in pipeline management, sales techniques, prioritization, and setting clear expectations
• Proficiency in leveraging data-driven insights to refine sales strategies
• To be driven and passionate about a fast-paced team environment, working with high pressure and high expectations
• Resilience, adaptability, proactivity, taking care of ambiguity, and a can-do attitude
• Creativity, organization and process-orientation to simultaneously handle hundreds of prospects

* 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 You’ll Do

• Build Uber's global support escalation strategy and processes. Set a clear vision, tie together existing strong individual efforts, and execute an integrated approach to uplift support quality

• Lead the global external escalations function, including social media support (day-to-day and critical brand response), managing high-priority and influencer cases, and overseeing Executive Leadership Team (ELT) escalations. Work in close partnership with Uber's Communications team to ensure swift and appropriate responses. Utilize social listening (e.g., Reddit) to proactively identify emerging issues and sentiment gaps

• Design and implement robust Tier 2 and Tier 3 escalation frameworks,including developing comprehensive standard operating procedures (SOPs), identifying and integrating necessary technology, and program managing the escalation process from our BPO partners to our Centers of Excellence (COEs) in both APAC and the US

• Mobilize cross-functional teams, ensure unified support operations, identify and triage critical bugs, to ensure rapid resolution
• Drive the root cause analysis of escalated issues to identify and implement fixes in both internal support processes and product features, aiming to prevent issues from recurring upstream. Identify and advocate for the development of necessary tools
• Develop and operationalize a long-term vision to help the team drive comprehensive problem solving of complex customer challenges across the Uber ecosystem
• Lead the design of operational processes to identify, rectify and prevent customer issues, resulting from product, support policies or agent performance gaps
• Source practical customer insights and influence partners across Product, Engineering, Operations and Customer support to improve customer offering
• Lead and develop a team of 130+
• AI-Driven Escalation Innovation: Strategically design, develop, and build cutting-edge escalation processes specifically for tech-driven and AI-influenced issues. This involves figuring out when and how things get escalated differently as AI tools make interactions more fluid. You will create processes on how to handle these unique escalations, develop technical requirements and business requirements for new AI-assisted tools for agents and ensure complex issues efficiently move beyond automated support when needed

Basic Qualifications

• 12+ years experience in operations, program management, consulting or corporate strategy as a people leader within a fast-paced and complex environment

• 10+ years of leadership experience managing large, global teams including direct reports and Managers

Preferred Qualifications

• Proven ability to think big-picture, define complex strategies, and translate them into actionable plans. A hands-on operator who can get into the details and drive execution from the ground up
• Deep experience and expertise in leading customer support operations
• Comfort operating in a highly matrixed global environment. Proven ability to influence leaders and cross-functional partners across Product, Engineering, Communications, Legal, and other CommOps teams to drive alignment and results without direct authority
• Experience scaling programs globally, starting with a strong foundation in a key market (e.g., US) and expanding effectively
• Demonstrated deep process improvement experience
• Lean Six Sigma certification and /or background in Systems Engineering

For San Francisco, CA-based roles: The base salary range for this role is USD$221,000 per year - USD$245,500 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

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

1. Use data to understand product performance and to identify improvement opportunities.
2. Build statistical, optimization, and machine learning models for a range of applications in the pricing and incentives algorithms space.
3. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
4. Present findings to senior management to inform business decisions.
5. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization

- - - - Basic Qualifications ----

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. 2+ years of experience as an Applied or Data Scientist or equivalent (can be also as part of Ph.D training).
3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
4. Experience in experimental design and analysis.
5. Experience with exploratory data analysis, statistical analysis and testing, and model development.
6. Ability to use Python to work efficiently at scale with large data sets.
7. Proficiency in SQL.

- - - - Preferred Qualifications ----

1. 2+ years of industry experience.
2. Experience in algorithm development and prototyping.
3. Experience in pricing optimization.
4. Experience with productionizing algorithms for real-time systems.
5. Well-honed communication and presentation skills.

For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

About the Role

As a highly technical PM, you will work closely with engineers, data scientists, and business stakeholders to build and refine pricing and matching models that drive efficiency, fairness, and profitability. You should be passionate about marketplace dynamics, algorithmic decision-making, and creating seamless user experiences.

What the Candidate Will Do

• Define & execute product strategies that optimize pricing and matching algorithms for drivers and riders.
• Work closely with engineering and data science to experiment, measure, and improve algorithms.
• Analyze marketplace performance and make data-driven decisions to optimize supply-demand balance.
• Collaborate with cross-functional teams, including Operations, Finance, and Growth, to align on pricing strategies.
• Identify key trade-offs between driver earnings, rider experience, and business growth, making recommendations accordingly.
• Develop and manage the product roadmap, prioritizing features and improvements for rapid execution.

Basic Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• 3+ years of Product Management experience in a very data-driven and algorithm-heavy environment.
• Must have a very strong technical background - this person will be creating and implementing pricing models and optimizing algorthims.

Preferred Qualifications

• Experience working on products that have a multi-sided marketplace is a strong plus.
• Strong analytical skills, with the ability to interpret data and make decisions accordingly.
• Fast execution mindset: Ability to iterate quickly, test hypotheses, and adapt based on results.
• Excellent communication and collaboration skills to work across engineering, operations, and business teams.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 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:

Reporting to Chief Ethics, Compliance & Security Officer, you will be responsible for defining the technology roadmap, identifying and evaluating new tools, leading cross-functional projects, and fostering a culture of innovation and continuous improvement within the ECS tech ecosystem. You will partner closely with engineering, IT, legal, and various business teams to deliver robust, scalable, and user-centric solutions to elevate our impact.

What You'll Do:

- Product Ownership:Act as the overall product owner for ECS-specific technology initiatives, defining requirements, prioritizing features, and overseeing the entire development lifecycle, from concept to deployment and ongoing maintenance.

- Tooling & Systems Management:Lead the selection, implementation, configuration, and ongoing management of a diverse portfolio of ECS tools, including but not limited to: Case management systems (integrity helpline, investigations); Public Safety response portal; Governance, Risk, and Compliance tools like ServiceNow; Regulatory and Risk assessment and management tools; Security incident response platforms; Data management

Identify opportunities to automate and streamline ECS processes through technology, improving efficiency and reducing manual effort.

Basic Qualifications:

- 12+ years of experience in technology leadership, product management, technical program management or a similar role, with a strong focus on enterprise software implementation and management.

- Proven hands-on experience implementing and leveraging AI within an organization.

- Strong track record of successfully leading complex technology projects from inception to completion, on time and within budget.

- Demonstrated ability to influence across a broad spectrum of stakeholders.

- Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

- Bachelor's degree in related field; or equivalent practical experience.

Preferred Qualifications:

- Familiarity with various programming languages and architectural patterns.

- Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop

- Advanced understanding of statistics, causal inference, and machine learning

- Experience designing, prototyping and implementing large scale initiatives.

- Experience working with large scale data sets using technologies like Hive, Presto, and Spark.

- Proficiency in fine-tuning and optimizing large language models (LLMs).

- Experience with GRC (Governance, Risk, and Compliance) platforms.

- Experience in retrieval-augmented generation (RAG) systems.

- Familiarity with agentic workflows and their applications in machine learning and AI systems.

- Master's degree in a relevant field.

For New York, NY-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.