Sr. Scientist - Mobility Matching

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

Have you ever wondered why it’s taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you!

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber’s scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.

What You'll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions
• Analyze and contribute to development of optimization algos and ML models for use in mobility matching
• Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

Preferred Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

Apply Now

Senior Scientist, Rider Personalization

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

The Rider team is the centerpiece of the Uber consumer experience, owning the core flagship app used by over 100M+ monthly active users.

The Personalization team is looking for a Senior Scientist who can help us innovate on our AIML efforts  and tackle the next frontier of challenges, including ranking & recommender systems, and agentic applications.

As a Scientist, you will play a critical role in enhancing the personalization AIML experience for millions of Rider app users worldwide. You will leverage your expertise in machine learning and data science to optimize our ranking & recommendation systems, help develop agentic applications, and simulate marketplace outcomes, ultimately improving user satisfaction and achieving business growth through one of the most impactful channels.

What You'll Do

• Prototype new models and methodologies (e.g. evidential deep learning, reinforcement learning, listwise ranking) for improving performance across the various personalization AI/ML surfaces of the rider app.
• Deep dive the data and optimize current ranking algorithms to enhance the relevance and accuracy of ranking results.
• Design experiments and offline simulations to measure the performance of AIML systems, including agentic applications, interpret the results, and make impactful recommendations for areas of development
• Work closely with product managers, engineers, and other scientists to define project goals and deliver data-driven solutions.
• Stay current with the latest advancements in personalization AIML
• Mentor and review the work of junior team members

Basic Qualifications

• M.S. or Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
• 5+ years of industry experience as an Applied Scientist, Research Scientist, or equivalent.
• Proficiency in programming languages (Python, PySpark, SQL) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),
• Strong business and product sense: ability to find business opportunities in AIML Systems and help define product and engineering roadmaps to capture these opportunities.

Preferred Qualifications

• Prior experience with feed ranking, recommender systems, or search algorithms
• Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.
• Advanced skills in the development and deployment of large-scale ML models and optimization algorithms

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

Apply Now

Scientist II, Fares

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The fares platform team powers the fares for all of Uber - that’s all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems which are critical to Uber’s success.

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy design, optimization and defect reduction.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
2. Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.
3. Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams.
4. Build ML models to solve complex problems and create AI agents to automate data science workflows.
5. Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.
2. 3+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
3. Experience with experiment design, exploratory data analysis, causal inference and model development.
4. Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).

Preferred Qualifications

1. 5+ years of industry experience as an Applied or Data Scientist or equivalent.
2. Experience using statistical methodologies in platform, marketplace or consumer domains.
3. Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
4. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership.

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

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

For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

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

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

Apply Now

Staff Scientist, Rider Booking Experience

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

At Uber, our mission is to reimagine how the world moves for the better. As part of the Rider Booking Experience team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. From optimizing AI Booking experiences to shaping executive-level strategy for the mobility product portfolio, your work will have a meaningful impact on the future direction of Uber. You’ll design experiments, develop models, and analyze user behavior to drive growth in the mobility business.

The data science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.

Some of the key projects will include evaluating AI booking agents, building targeting models for messaging in the app, and running large scale experiments to improve the UX. In this role, you’ll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber’s business.

What You'll Do:

Drive Strategic Vision

1. Shape the vision for the mobility booking experience and translate the strategy into measurable goals, robust models, and scalable systems.
2. Propose and defend data-driven hypotheses in senior and executive reviews; shape long-term product direction with clear narratives and analysis.

Modeling, Metrics & Experimentation

1. Design and scale advanced machine learning and optimization systems to power steps in the booking flow.
2. Establish key success metrics and measurement frameworks for features and launches.
3. Incubate 0-to-1 solutions to evaluate and iterate on emerging AI user experiences.

Cross-Functional Leadership

1. Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery.
2. Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization.

Basic Qualifications

1. Ph.D. or equivalent experience in a quantitative field such as Economics, Statistics, Machine Learning, or Applied Mathematics.
2. Minumal 4 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact.
3. Deep expertise in SQL, Python, and statistical analysis.
4. Advanced knowledge of experimentation and causal inference methodologies.
5. Experience presenting to and influencing senior leadership and executives.

Preferred Qualifications

1. Minumal 7 years experience in fast-paced tech or marketplace environments; experience in AV mobility or delivery domains is a plus.
2. Proven experience building and deploying ML or optimization models in production.
3. Demonstrated leadership of large-scale, cross-functional technical initiatives.
4. Entrepreneurial experience launching new product lines, systems, or 0-to-1 initiatives.
5. Strong product and systems thinking, comfortable making trade-offs between ideal science and product reality.
6. Strong communication, storytelling, and influencing skills.

For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

Apply Now

Data Scientist

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

We are looking for an exceptional Data Scientist with 3+ years of experience to help Uber’s internal and external applications, products and services to grow adoption, improve CSAT and reduce cost. You will leverage analytics, engineering, and machine learning, and data science to empower data-driven decision making in the full lifecycle of product development. You will be responsible for building this program from the ground up: partner with stakeholders, understand all aspects of the products, interact with cross-functional business and technical teams, predict risks, improve strategic decisions, and lead experimentation/growth projects.

What the Candidate Will Need / Bonus Points

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

1. Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
2. Define, measure, and analyze business metrics and product KPIs
3. Create tableau dashboards and the underlying data aggregations in GCP.
4. Conduct exploratory analysis to inform product strategy and evaluate recently released or existing products or features
5. Partner with multiple team members to make data-driven decisions across the organization by leveraging descriptive and predictive analytics
6. Work from the inception of a specified business problem identified by data to delivery of a solution, identify opportunities to fix or improve processes that make Uber better in the long term
7. Put together seemingly disparate pieces of data, build out the data pipeline and create interactive dashboards, provide comprehensive analytics support to partner teams, primarily through development of self-serve tools (such as Tableau and Looker)
8. Write queries, contribute to larger-scale products/projects and perform ad hoc analyses as needed, apply a diverse set of techniques including statistics, quantitative reasoning to help grow the business
9. Comfortable with working in fast-paced environments to find answers to critical questions with data and be decisive in an ambiguous situation
10. Determine and monitor essential metrics for product projects
11. Own, drive, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science
12. Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written format

---- Basic Qualifications ----

1. 3+ years in quantitative/analytic role, preferably within tech
2. Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as customer lifetime value models, funnel optimization.
3. 1+ years experience with BI Tools such as Tableau, MicroStrategy, Power BI or Looker
4. Expertise using data modeling skills to identify key product trends and new product opportunities
5. Ability to design implement, and track core metrics to analyze the performance of our products
6. SQL expert and a good understanding of databases, data relationships and data integrity
7. Demonstrated ability to think strategically about business, product, and technical challenges
8. Strong communication skills and customer empathy, capable of pushing for the best solution with tact
9. Strong problem solving skills and ability to translate ambiguous, unstructured problems into actionable data-driven analyses
10. Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field
11. Excellent planning and project management skills

---- Preferred Qualifications ----

1. Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
2. Experience in a product-focused role at a social media and/or mobile technology company
3. Experience handling structured and unstructured data from internal and third-party sources
4. Experience with Python, Javascript, and R are plus
5. Strong communication and interpersonal skills
6. Exposure to Web Analytics such as Google Analytics, Adobe Analytics/Omniture, Heap Analytics
7. Experience with causal inference techniques, experimental design and/or A/B testing
8. Leveraging and integrating large language models (LLMs) to enhance analytics, automate workflows, and improve user interaction and decision support."

For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

Apply Now

Staff Scientist, Mobility Matching

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Have you ever wondered why it’s taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you!

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber’s scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.

What You'll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions
• Analyze and contribute to development of optimization algos and ML models for use in mobility matching
• Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

Preferred Qualifications

• 6+ years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Ph.D. in a relevant quantitative field.
• Deep expertise in areas such as marketplace experimentation, causal inference, ML, or optimization, particularly in the context of multi-sided platforms, incentive systems, or logistics.
• Proficiency in SQL.
• Experience in algorithm development and prototyping, and with productionizing algorithms for real-time systems.
• Demonstrated ability to translate complex analytical results into clear, actionable insights and influence product and business strategy.
• Excellent communication and presentation skills, with the ability to articulate technical concepts to diverse audiences, including senior leadership.
• Experience leading technical projects and influencing the scope and direction of research.
• Familiarity with big data technologies (e.g., Spark, Hive, HDFS).
• Strong business acumen and the ability to shape vague questions into well-defined analytical problems and success metrics.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

Apply Now

<p><strong>Employer:</strong> Uber Technologies, Inc.</p>
<p><strong>Job Title:</strong> Scientist, Tech</p>
<p><strong>Job Location:</strong> San Francisco, California</p>
<p><strong>Job Type:</strong> Full Time</p>
<p><strong>Rate of Pay:</strong> $161,000 to $197,000 per year</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</p>
<p><strong>Duties:</strong>                         Design, execute, and analyze experiments to understand product and tool performance in the areas of driver recruitment, fleet management, AV fleet operations. Deep dive into user experience. Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives and shape long-term strategy. Present data insights to business and executive audiences to help drive decisions and guide product development roadmap. May telecommute.</p>
<p>Employer will accept a Master's degree in Analytics, Data Science, Statistics, Economics, Machine Learning, Operations Research, or related field and 1 year of experience in the job offered or in a computer-related occupation.</p>
<p>Position requires:</p>
<ol>
<li>Quantitative Analysis;</li>
<li>Data Visualization;</li>
<li>Dashboard Development;</li>
<li>Data Analytics tools: R or Python; and</li>
<li>Querying data from the database using SQL.</li>
</ol>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>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.</p>

Staff Infrastructure Efficiency Analyst

Product Analyst, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

As an Infrastructure Analyst within the Cloud C.O.R.E team you will be a key driver of financial accountability and optimization across our cloud environments. You will play a critical role in cloud billing data analysis, forecasting, and the identification and impact analysis of engineering and financial optimizations. You will leverage your expertise in data analysis, machine learning, and engineering to drive insights, optimize our infrastructure, improve our forecasts, and deliver efficient growth for Uber.

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

1. Translate complex cloud consumption data into actionable insights for leadership and engineering.
2. Identify and track optimizations and realized savings.
3. Establish key price-performance metrics and partner with engineering to implement price-performance optimizations within production scaling.
4. Define and manage reporting of cloud consumption metrics and KPIs, ensuring transparency, accuracy, and accountability.
5. Establish consumption anomaly detection capabilities and reporting.
6. Partner with engineering and capacity planning teams to optimize resource consumption decision making.
7. Support commitment strategies, ensuring commitment decisions that optimize spend and best serve the business and technical strategy.
8. Embed cloud consumption shift-left principles into engineering design and architecture.
9. Partner with engineers and business leaders to model future consumption and costs to drive strategic decision making.
10. Collaborate on infrastructure demand planning across key infrastructure growth metrics.
11. Partner with engineering to improve consumption and efficiency reporting across internal tooling.

---- Basic Qualifications ----

1. Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
2. 7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).
3. 5+ years of industry experience working with Cloud, either at a hyperscaler or as a cloud customer.
4. Familiarity with cloud compute, storage, and data analytics concepts and products, demonstrated through either multiple years of experience on a team building cloud products, or managing the consumption of numerous cloud products, or through accreditation from numerous cloud certifications.
5. Demonstrated experience mentoring and coaching junior analysts or peers, with ability to provide constructive feedback and support professional development.
6. Excellent communication and collaboration skills: Able to lead initiatives across multiple areas and communicate findings with leadership and engineering teams.
7. Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).
8. Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models.
9. Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
10. Fluency in MS Excel/Google Sheets for analysis and collaboration with finance teams.

---- Preferred Qualifications ----

1. Experience with cost optimization analysis & implementation, ideally for cloud spend or compute infrastructure.
2. Experience in leading key technical projects and substantially influencing the scope and output of others.
3. Thought leadership to drive cross-functional projects from concept to production.
4. Experience in contributing to performance optimization initiatives through experimentation.
5. Experience with exploratory data analysis, statistical analysis, and model development.

For San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

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.

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<p><strong>About the Role</strong></p>
<p>End-to-end product development from a data, analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>About the Team(We are hiring for multiple teams)</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas, including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Lead a team of Scientists, including growing and mentoring your team members.</li>
<li>Partner closely with cross-functional stakeholders and other Science teams to identify business needs and translate them into technical roadmaps to deliver impactful solutions.</li>
<li>Communicate complex findings and recommendations to senior leadership.</li>
<li>Solve ambiguous, challenging business problems using data-driven approaches including Causal Inference, Optimization and ML.</li>
<li>Own the product development cycle end to end from data and science aspects.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).</li>
<li>1+ years managing a team of scientists.</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Experience designing experiments and interpreting the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>2+ years managing a team of scientists.</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others.</li>
<li>Thought leadership to drive cross-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design or experimentation platform.</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>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.</p>

<p><strong>About the Role</strong></p>
<p>End-to-end product development from a data, analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>About the Team(We are hiring for multiple teams)</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas, including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Maps</strong>: Building the geospatial technologies for all of Uber, including travel time prediction (ETA), routing, search & ranking, pickup & dropoff recommendation, and trip intelligence. The outputs power marketplace systems like pricing & matching and the core trip experience.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Experimentation Platform</strong>: Building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.</li>
<li><strong>Autonomous Mobility & Delivery (AM&D)</strong>: Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Solve ambiguous, challenging business problems using data-driven approaches including Causal Inference, Optimization and ML.</li>
<li>Own the product development cycle end to end from data and science aspects.</li>
<li>Provide thought leadership and mentorship for critical science problems across teams / orgs.</li>
<li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of initiatives.</li>
<li>Design and analyze experiments, present results that provide actionable recommendations.</li>
<li>Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.</li>
<li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models</li>
<li>Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.</li>
<li>Experience designing experiments and interpreting the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others</li>
<li>Thought leadership to drive crossi-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design or experimentation platform.</li>
<li>Experience with exploratory data analysis, statistical analysis and model development</li>
<li>Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala</li>
</ul>
<p>For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>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.</p>