Decision Scientist Risk jobs at Uber

We aim to prioritize safety and growth at a global scale by building and optimizing cost-efficient identity verification processes for identifying risky actors and limiting unnecessary friction for safe earners.

As a Risk and Compliance Specialist, you will play a pivotal role in ensuring the highest service quality standards, risk mitigation, and compliance within our organization. Your responsibilities will revolve around analyzing data, identifying potential risks, implementing strategies to address compliance issues, and fostering a culture of continuous improvement. This role requires strong analytical skills, problem-solving abilities, effective communication, and a collaborative mindset to work with various organizational stakeholders. The ideal candidate will be proficient in Google Sheets and demonstrate a commitment to execution excellence.

• Analyze metrics, risk factors, and compliance standards to identify areas for improvement.
• Develop and implement strategies to enhance service quality, mitigate risks, and ensure compliance with regulatory requirements.
• Identify emerging risks and trends, and proactively recommend solutions to mitigate potential impacts on service quality and compliance.
• Work on content development in case of gaps in the SOPs/KB pages.
• Utilize analytical tools, including Google Sheets, to collect, organize, and analyze data for informed decision-making.
• Work with TLs to improve the team's TPH, R2, insights & impact metrics.
• Willingness to work in shifts (rotating day/night shifts, rotating weekend offs).

Basic Qualifications

• Proven track record of identifying issues, developing innovative solutions, and implementing effective strategies to address challenges related to service quality, risk management, and compliance.
• Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams and influence stakeholders to achieve common goals.
• Demonstrated proficiency in using Google Sheets for data analysis, reporting, and collaboration.
• Excellent verbal and written communication skills with the ability to articulate complex concepts and technical information to diverse audiences.
• Commitment to delivering high-quality results, meeting deadlines, and continuously improving processes and procedures to achieve organizational objectives.
• Work in a 24x7 support environment, pro-actively take initiatives/ suggest improvements, and work closely with the TLs in carrying out projects.
• Ability to train new hires, and floorwalkers and set them up for success when they start production.
• Ability to analyze complex data sets, identify patterns, and derive actionable insights to improve service quality and mitigate risks.

Preferred Qualifications

• Must be in the current roles for 6 months at least.
• Strong attention to detail, critical thinking skills, and the ability to exercise sound judgment in decision-making.
• Proven track record of executing projects, driving process improvements, and achieving measurable results.
• Excellent organizational skills with the ability to prioritize tasks, manage multiple projects simultaneously, and adapt to changing priorities.

* 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 Will Do

1. Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
2. Build statistical, optimization, and machine learning models for strategic insights as well as in production enhancements to the membership program.
3. Design and analyze experiments, present results that provide actionable recommendations.
4. Orient our teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
5. Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.

- - - - 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. 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
3. Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)
4. Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
5. Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
6. Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

- - - - Preferred Qualifications ----

1. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
2. Experience leading key technical projects and substantially influencing the scope and output of others
3. Knowledge of experimental design and analysis or experience with exploratory data analysis and model development
4. Experience communicating qualitative research methods and findings to non-qualitative researchers
5. Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team
6. Solid theoretical and applied ML skills and a strong background in mathematics and stats
7. Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
8. Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference
9. Experience of working with large dataset using Spark, Hive, HDFS is desired
10. Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
11. Thought leadership to drive multi-functional projects from concept to production

For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 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

- - - - 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.

The Uber Payments UK (UPUK) Chief Risk and Compliance Officer (CRCO) role is a leadership position in the UK payments team with responsibility for leading its second line team across overall management of operational, financial and compliance risks and implementation of regulatory requirements. This leader reports to the CEO and Chairperson of the Board of UPUK.

What You'll Do

1. Ultimate responsibility for overall risk management of UPUK as well as Customer Due Diligence, Anti-Money Laundering and Counter Terrorism Financing programs and ensuring compliance with regulations, good practices by regulators and other relevant prudential requirements applicable to UPUK.
2. Establish and maintain relationship and communication with UPUK’s regulators.
3. Finding the right balance of managing robust systems and controls, with enabling business goals.
4. Motivating and leading a risk and compliance team to put a robust risk framework into practice, managing escalations and syndicate compliance across the organisation.
5. Building and maintaining effective controls, incident response and management thereof.
6. Establishing and maintaining relationships with risk owners in other areas of Uber.
7. Maintaining strong relationships with other Uber leadership roles in the UK, as well as with leadership within Uber;
8. Ensuring that Financial Crime management is conducted according to industry best practice.
9. Staying abreast of legislative, regulatory and corporate governance developments that might affect UPUK’s operation.
10. Managing and executing reporting and making recommendations; and identifying compliance risks associated with the business activities. Follow up on resolution of compliance issues that may arise.
11. Managing the service provision of risk and compliance processes by Uber
12. Board member and company director

What You'll Need

1. Minimum 10 years relevant work experience in financial services, payments;
2. Minimum 5 years of leadership experience;
3. Statutory Managing Board, or equivalent, experience;
4. Experience building solutions in a regulated industry in a fast-moving technology-savvy environment;
5. Solid understanding and background in managing risk and governance issues
6. Experience managing relationships and proactive communication with regulatory bodies;
7. Impeccable judgment, integrity, and ability to set an ethical example;
8. Familiarity with the Payment Services Directive, E-Money Directive, and other relevant financial regulations, approved person regimes, and other relevant prudential requirements.

Bonus Points If

1. Experience in start up cultures with a focus on efficiency and speed of execution
2. Ability to simplify requirements to make them easily translatable and relevant to a tech firms operating model

* 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

The technology you build will allow us to create a turn-key platform that will fuel growth at Uber via many applications as we move real people and things, in 450+ cities across the world. In this role, you will be building distributed infrastructure and services serving ML based decisions at Uber scale for critical business functions where high availability and reliability are not metrics but core requirements.

You will also get to work on systems that detect and mine anomalies in petabytes of data flowing through our systems and surfacing insights and actions that form a strong feedback loop to improve ML models and highly sophisticated decision predicates. This is a very high impact role where you will interface with all major infrastructure teams at Uber.

This is a unique opportunity for an experienced engineer who is collaborative, has a healthy sense of curiosity and acts with responsibility to join Uber, work with talented people across the board and help improve our next generation payments systems, scaling it to the next level.

• Actively seek out the toughest technology and engineering problems and solve them as a team.
• Own opportunities and initiatives and drive clarity, convergence and closure across teams.
• Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring.
• Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with a differences in opinion in a mature and fair way, helping teams to commit and move forward.
• Act on execution of projects with good judgement and responsibility

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

1. Architect, design, and develop robust backend services and scalable APIs.
2. Lead the development and optimization of backend applications using modern technologies
3. Oversee the integration of complex data workflows and pipelines.
4. Ensure the scalability, performance, and reliability of software applications.
5. Conduct code reviews, design discussions, and technical mentorship.
6. Collaborate with cross-functional teams to deliver comprehensive, end-to-end solutions.
7. Stay current with emerging technologies and industry trends to drive innovation.
8. Troubleshoot and resolve critical issues in production and development environments.
9. Provide strategic technical leadership to influence the direction of Uber’s technology stack.
10. Develop and maintain comprehensive documentation for software projects and processes.

- - - - Basic Qualifications ----

1. 10+ years of experience in software development.
2. Expert proficiency in backend technologies such as Java, Python, Node.js, or Go.
3. Exposure/working with frontend frameworks like React, Angular, or Vue.js and mobile development.
4. Deep understanding of database technologies, including SQL and NoSQL databases.
5. Proficiency with cloud platforms like AWS, GCP, or Azure.
6. Experience with designing and developing RESTful APIs.
7. Mastery of version control systems such as Git.
8. Exceptional problem-solving skills and ability to lead collaborative teams.
9. Excellent communication skills, both verbal and written.

- - - - Preferred Qualifications ----

1. Master's Degree or PhD in Computer Science, Engineering, or related field
2. 4+ years of experience as Engineering lead
3. Exposure to or experience with:
4. Product engineering
5. Scalability engineering
6. Distributed systems
7. Track record of delivering results in fast-paced and highly ambiguous environments
8. Org-wide Impact: Demonstrated ability to drive projects with org-wide scope and high impact

* 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

- - - - What You Will Do ----

1. Design reliable and valid measurement tools to enhance employee listening.
2. Partner with stakeholders on survey design, methodology, and data interpretation.
3. Analyze both active listening (surveys) and passive listening (e.g., organizational network analytics) data to uncover insights on employee motivation, behavior, and experience.
4. Translate complex business problems into data-driven research initiatives with measurable outcomes.
5. Integrate, clean, and analyze people data from multiple sources, applying behavioral science to guide evidence-based decisions.
6. Communicate findings and recommendations to both technical and non-technical audiences to inform key business decisions.
7. Support the planning, execution, and stakeholder engagement of the survey program

- - - - Basic Qualifications ----

1. Master’s or PhD in a quantitative social science field (e.g., Industrial/Organizational Psychology, Educational Psychology, Organizational Behavior, Behavioral Economics).
2. 3+ years of industry experience in People Analytics, consulting, or survey/employee research.

- - - - Preferred Qualifications ----

1. PhD with 3+ years of experience, or Master degree with 4+ years as a survey scientist, applied researcher or data scientist—ideally in the tech industry.
2. Strong background in survey design, psychometrics, and people data analysis.
3. Experience with organizational network analysis (ONA) a plus.
4. Familiarity with I/O psychology and broader people analytics topics.
5. Ability to translate business needs into research solutions and communicate insights clearly.
6. Skilled at managing complex, imperfect, and unstructured people data.
7. Strong project planning and management skills
8. Comfortable with ambiguity, adaptable in fast-paced environments, and innovative in solving complex problems.
9. Demonstrated ownership and ability to lead projects end-to-end

For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.

What You'll Do

• Own the end-to-end lifecycle of scientific models and algorithms, from ideation and development to deployment and iteration, tackling our most complex pricing challenges.
• Act as a thought leader , influencing the product and technical roadmap by identifying new opportunities and translating them into actionable scientific projects.
• Lead the design and analysis of large-scale experiments, pushing the boundaries of causal inference to measure the impact of our pricing strategies and deliver actionable insights.
• Drive collaboration with senior stakeholders across Product, Engineering, and Operations, effectively communicating complex findings and presenting strategic recommendations to leadership.
• Mentor and guide junior scientists on the team, elevating the overall technical bar and fostering a culture of scientific rigor.

What You'll Need (Basic Qualifications)

• A Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Operations Research) with 2+ years of industry experience, OR a Master's/Bachelor's degree in a similar field with 5+ years of relevant industry experience.
• Deep, hands-on expertise and a proven track record of applying advanced methods from machine learning, statistics, optimization, and causal inference to solve complex, real-world business problems.
• Proven experience leading complex, cross-functional projects, with a track record of influencing the technical direction and output of the team.
• Proficiency in modeling, data analysis, and programming using a language like Python or R.
• Experience querying databases using SQL.
• Excellent communication and presentation skills, with the ability to influence both technical and non-technical audiences.

Preferred Qualifications

• Expert-level knowledge in one or more of the following areas: experimental design, causal inference, machine learning, economics, or optimization, with a track record of designing and implementing model architectures and algorithms.
• Direct experience in a marketplace-related problem space, especially pricing optimization.
• Proven ability to design and analyze large-scale experiments to inform critical pricing and product decisions.
• Experience working with large datasets using distributed computing systems like Spark, Hive, or Presto.