Scientist II, Airports and Travel

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Airports and Travel is one of the fastest growing segments of Uber. We focus on creating magical end-to-end experiences for Uber travelers - be it a short business trip, or a long vacation. We own all aspects of traveling user’s experience, from pricing and promos, to tailored experience at each airport, to unique in-app travel experiences. We are looking for a Data Scientist who can deep dive into data and produce insights that can guide the development of the next generation of products for Uber travelers.

You will be a thought leader who will work with product managers, engineers and fellow data scientists to shape the future of Uber travel products. You will work in a fast paced environment and use planet scale data to deliver planet scale impact. This role will need a deep understanding of data, strong communication skills, and solid knowledge of experimentation.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Solve open-ended and ambitious business problems using data (e.g. how can we increase Uber Eats usage for travelers by 50%? What is the biggest pain point that reduces Uber usage while traveling internationally?)
2. Develop data driven hypotheses, run experiments to test them, and communicate results to your stakeholders and business leaders to shape business strategy.
3. Define metrics that best measure business health, and monitor them to ensure strong execution.
4. Collaborate with cross-functional teams such as product, engineering and operations to drive a culture of data driven decision making.

Basic Qualifications

1. Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus).
2. Mininum 2 years experience in improving products, understanding the user journey and extracting user behavior insights from large datasets.
3. Proficiency with Python and SQL for exploratory data analysis and modeling.
4. Excellent analytical skills, with experience extracting user behavior insights from large datasets.
5. Foundational knowledge in at least one of the following areas: machine learning, statistics, optimization, causal inference, or economics.
6. Exceptional communication skills across technical, non-technical, and executive audiences.

Preferred Qualifications

1. Mininum 3 years of relevant industry experience as a Product Data Scientist, Applied Scientist, or equivalent.
2. Experience in statistical methods, causal inference from observational data, and choice modeling.
3. Experience in building data pipelines, designing metrics and tables, dashboards, etc.
4. Experienced in using AI to hypercharge productivity and delivering 10x impact.
5. Prior experience in rideshare or a related domain (marketplaces or gig economy etc.).

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 Personalization

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, 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 Staff Scientist who can help us innovate on our AIML efforts and tackle the next frontier of challenges in ranking & recommender systems.

As a Scientist, you will leverage your machine learning expertise to transform our homescreen feed, help grow the cross-platform business, and ultimately improve user satisfaction through one of Uber's most impactful channels.

What the Candidate Will Need / Bonus Points

What You Will Do

1. Play a tech lead role in framing cross-line-of-business optimizations and architecting novel ML solutions
2. Prototype these solutions using Uber's internal ML model development tools
3. Influence and align engineering & product on the AIML roadmap for homescreen ranking
4. Help identify system-wide improvements to Uber Rider ranking and recommendations, including adoption of the latest technologies in ranking and recsys

Basic Qualifications

1. Strong background in designing ML systems for ranking and recommendation
2. Ability to set up multi-objective optimizations that trade off the needs of different lines of businesses
3. Comfortable with high degrees of complexity and ambiguity
4. Deep experience in large-scale consumer tech

Preferred Qualifications

1. Knowledge of latest innovations in ranking and recsys including transformer architecture
2. Understanding of consumer platform businesses

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 Sunnyvale, CA-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

Applied Scientist, Economist - Marketplace Fairness

Data Scientist, Data Science

San Francisco, California |

New York, New York

Full Time

Apply Now

About the Role

The Marketplace Fairness Team is an applied science policy team that assesses bias in products, projects, and machine learning models. The team’s work typically comprises deep, long-term investigations into potential fairness concerns on the platform. It works with product and data science teams to understand a product, and it works with legal and policy teams to translate policy concerns into quantitative analysis. Areas of focus include safety products, earner deactivations, marketplace dynamics across neighborhoods, and implementation of Responsible AI principles.

Responsibilities

• Conduct deep investigations into the platform and across products
• Conduct fairness testing to assess products, projects, or machine learning models for bias.
• Present results to lawyers, leadership, and the people who create these products
• Help build AI/ML governance

---- Basic Qualifications ----

1. Deeply proficient in doing data analysis in Python
2. Proficient with SQL

---- Preferred Qualifications ----

1. PhD in Economics.
2. Exceptional verbal and written communication skills, with ability to collaborate cross-functionally and translate technical findings for non-technical audiences.
3. Ability to proactively identify research questions relevant to business or policy.
4. Project management skills and experience working in a cross-functional environment with legal, policy, and business leaders.
5. Passion for making Uber’s platform work better for all types of users.
6. Minimum 1 year of quantitative research or data science experience.
7. Strong data skills and experience with tools such as SQL, Python, and R to work efficiently at scale.
8. Ability to work independently and execute a research plan with minimal oversight
9. Strong verbal and written communication skills and the ability to synthesize research results into clear, actionable insights accessible to broad audiences.

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 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 II

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

We're looking for a data scientist to join Uber’s Account Actioning Data Science team to provide data expertise to ensure that our policies on gaining and maintaining access to the Uber platform are transparent and fair. This will be a highly cross-functional role that will work closely with operations, engineering, product management, and partner data teams. You will build out and own product and operations metrics, provide key insights, conduct deep dive analysis to understand new opportunities and present findings, and work with cross-functional partners on coming up with new policy and product solutions while measuring impact. You will play an influential role in helping drive critical product and policy decisions.

What the Candidate Will Need / Bonus Points

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

1. Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business.
2. Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing.
3. Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
4. Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives.

---- Basic Qualifications ----

1. 3+ years proven experience in product analytics or ontological data modeling.
2. M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
3. Advanced SQL and Python expertise.
4. Basic understanding of experimental design (such as A/B experiments) and statistical methods.
5. Ability and experience in extracting insights from data, and summarizing learnings / takeaways.
6. Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar).
7. Excellent judgment, critical-thinking, and decision-making skills.
8. Balance attention to detail with swift execution.

---- Preferred Qualifications ----

1. Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields.
2. 4+ years industry experience in consumer facing product analytics.
3. Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story.
4. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
5. Ability to solve complex business problems that cross multiple product/project areas and teams.

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

Staff Scientist - Reservations

Data Scientist, Data Science

in Seattle, Washington

• Full Time

Apply Now

About the Role

The Reservations data science team owns the experience and algorithms powering the Uber Reserve Product in the Rider and Driver app. We optimize the user experience for both Riders and Drivers, matching, dispatch and pricing algorithms, as well as growth levers to deliver magical experiences and business value.

The Reserve product is moving from a nascent mvp product to a more mature product, we have delivered on most of the “low hanging fruit” initiatives to improve the experience, building levers to customize the product and handle edge cases to consistently deliver high reliability. Currently, our focus is shifting towards driving efficiency to improve our unit economics and to drive adoption and growth.

Some of the key projects involve major changes in Pricing, Matching and Dispatch that involve transitioning from heuristic based decision making to building machine learning models to make key decisions in real time, as well as important changes to Driver and Rider experience, including discoverability and awareness generation levers, and finally piloting new use cases that leverage the Reserve Tech as a platform to unlock new vectors of growth.

What You Will Do

1. Deploy a wide variety of methodologies, including causal inference techniques, funnel analyses, and econometric modeling to identify our largest business opportunities.
2. Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy.
3. Run large scale experiments to validate the impact of new features.
4. Present findings to business and executive audiences

---- Basic Qualifications ----

1. Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
2. 6+ years of industry experience as an Applied or Data Scientist or equivalent.
3. Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
4. Agile project management capabilities, adept at using tools like JIRA, and a driven problem-solver with a passion for impacting the retail sector at scale.
5. Advanced skills in the development and deployment of large-scale ML models
6. Experience in experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
7. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

---- Preferred Qualifications ----

1. Strong experience in causal inference, optimization, and machine learning
2. Experience in algorithm development and prototyping.
3. Ability to drive clarity on the best modeling or analytic solution for a business objective
4. Expertise in causal inference, A/B testing designs, multivariate testing, and other advanced analytical methods.
5. Experience in designing highly scalable, resilient systems for customer-facing applications and familiarity with optimization techniques.
6. Design, develop, productionize, and operate econometric models, experiments, and frameworks to assess challenging causal problems such as product incrementality and long-term value
7. Propose, design, and analyze large scale online experiments
8. Build statistical, optimization, and machine learning models for a range of applications.
9. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
10. Knowledge of advertising targeting and measurement solutions, digital marketing analytics tools, and specific technologies such as GCP, BQ, and Elastic/SOLR/Vector Search.
11. 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

For Seattle, WA-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

Data Analyst II, Tech

Data Analyst, Data Science

in San Francisco, California

• Full Time

Apply Now

Employer:                    Uber Technologies, Inc.

Job Title:                      Data Analyst II, Tech

Job Location:              San Francisco, California

Job Type:                     Full Time

Rate of Pay:                 $164,403 to $197,283 per year

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.

Duties:                         Build framework for analysis behind company-wide decisions relating to operations, process, and optimization. Collaborate across teams to document and interpret business data. Design, build, and maintain data pipelines to power globally scalable dashboards. Write queries, perform data analysis, and create data visualizations to optimize operations. Enable product development and improvements by leveraging user data to unlock trends and patterns. Develop new metrics to track user engagement and retention for internal products. Perform time-series analyses, hypothesis testing, and ad-hoc analyses to statistically assess relative impact and extract trends on new product launches. Create, improve, and automate reporting methods through an understanding of databases, data relationships, and data integrity. May telecommute.

Employer will accept a Bachelor's degree in Engineering (any), Statistics, Information Management, Information Systems, Information Technology, Mathematics, or related field, and 4 years of experience in the job offered or in a related occupation.

Position requires:

1. Performing scalable analysis using R or Python;
2. SQL, QueryBuilder, Hive, and Presto;
3. Debugging and monitoring for production services;
4. Data analysis;
5. Quantitative modeling, including time-series forecasting, or causal impact analyses;
6. Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals;
7. Developing relevant metrics and KPIs to measure performance by product teams and program teams;
8. Data Visualization;
9. Google Sheets;
10. Converting business requirements to data engineering requirements, source-to-target and schema design, and pipeline scheduling and dependencies.

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, Tech

Data Scientist, Data Science

Sunnyvale, California |

San Francisco, California |

New York, New York

Full Time

Apply Now

About the Role

Applied Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Trip Pricing team, which owns our automated real-time pricing algorithms and platform. You will work on designing and implementing pricing models that maintain reliability and improve the efficiency of Uber’s Mobility marketplace.

We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of economics, machine learning, and/or operations research to improve the Uber rider experience as well as the overall marketplace performance.

What the Candidate Will Do

1. Build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space.
2. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
3. Use data to understand product performance and to identify improvement opportunities.
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. 3+ years of industry experience as an Applied or Data Scientist or equivalent.
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. 6+ 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$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 Sunnyvale, CA-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

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

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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