In the role of Program Manager Tech with Engineering Services, you will be responsible for delivering high quality Engineering work within the timelines and resource scope. You will be be responsible for - What you'll do: Drive efficiencies for GSS through various functional opportunities Define, scale, manage and deliver multiple tech projects. Effective at managing multiple priorities under tight deadlines, ability to prioritize conflicting demands Collaborate with key stakeholders for scoping and prioritization based on the business impact/ team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Understand the broader picture, provide strategy, vision and engage in cross-functional interaction. Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Structural and methodical thinking, problem solving, handling ambiguous situations. Strong analytical skills; solid decision-making capabilities coupled with the ability to analyze situations and provide practical recommendations Experience/exposure to the technical systems and design. Be a thought leader for data-informed initiatives and guide the overall team s direction Establish processes that deliver continuous improvement across all operational activities ---- Basic Qualifications ---- Minimum 4 years of experience in technical program management or product management Bachelors degree or equivalent combination of industry related professional experience and education Experience in solving problems, both structured and ambiguous, at scale with strong Excellent written and verbal communication skills Ability to influence and motivate people (with both technical and non-technical individuals) across a broad variety of job functions through your relationships ---- Preferred Qualifications ---- Solid technical aptitude and ability to understand technical design, challenges, and risks Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive customer and product-focused decisions

You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to - Build scalable analytical frameworks to support product analytics for Ubers Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring. Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points ---- Basic Qualifications ---- 2+ years of work experience with a Bachelors Degree OR 1+ years of work experience with a Masters Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics, Operation Research or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries ---- Preferred Qualifications ---- SQL mastery. Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data - One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments

Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following: Operational Efficiency Identify gaps and risks to the organization and operational efficiencies. Create programs, processes, and policies to drive improvements. Monitor, evaluate, and continuously improve the organization by being a trusted advisor, facilitator, and creative problem solver. Implement continuous improvements to the organization and the program management process Execution Drive the execution of operational programs, projects, and initiatives. Handle issue escalations and proactively remove obstacles to drive momentum and progress Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements Financial and Headcount Management Ensure organizational spending aligns with budget and priorities Communication Lead the communications strategy for your programs. Ensure information flows clearly and efficiently to enable teams Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings/reviews Insights Identify data based opportunities to improve process and customer experience ---- Basic Qualifications ---- Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation Ideate and drive programs aimed at driving efficiencies for GSS Facilitate and drive high-impact initiatives to improve process quality and the customer experience Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Design experiments and interpret the results to draw detailed and actionable conclusions Present findings to senior management to guide business decisions Track, analyze, and report data patterns and trends associated with the programs you own ---- Preferred Qualifications ---- Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background Analytics background. You have collected, structured and analyzed data to drive key insights

Design, scale, code, monitor and maintain a highly critical set of services. Contribute, lead, own and deliver multiple high impact and complex projects/features. Collaborate with cross-functional teams, product managers and designers to deliver cohesive solutions impacting multiple products. Working alongside talented senior engineers on complex problems, challenging the status quo, and pioneering innovative solutions across Uber. Mentor and groom junior engineers. ---- Basic Qualifications ---- MS/BS in Computer science and at least 4 years of individual contributor experience as a software engineer. Adept at coding in any of the following languages - Java, Go, C++. Experience with Node.js, Javascript, React, GraphQL, Web Components, HTML, CSS. The ability to go deep, but also appreciate the challenge of going broad. Uber has a huge stack, and we re all over it: backend services, real-time dispatch, machine learning, mobile, web development, data and analytics, infrastructure, marketing systems. Solid understanding of distributed systems architecture - consensus, convergence, load balancing, data consistency and performance/efficiency constructs. Identify and resolve performance and scalability issues - systems at scale serving millions of users with high availability. High adaptability. Strong desire to learn and grow, while building the best in class systems. Strong flair for effective communication and collaboration - you know when to push on and when to step back. Ability to learn quickly and have fun while working on the hardest problems. ---- Preferred Qualifications ---- Prior experience in fintech, payments, compliance domain Prior experience in working with applications at scale. Prior experience in Go and React. Prior experience building user-facing web applications. Customer-centric mindset to create intuitive and coherent user experiences.

The mission of U4B Science is to help the team build and improve Ubers B2B products through data insights. We own complex projects from end-to-end, including exploratory analysis, experimentation, and measurement foundations for tracking how our products are doing. Candidates are expected to be technical and full-stack, covering everything from strategic product analysis to logging design and measurement. ---- What You Will Do ---- Generate product insights through analysis to influence decisions and what / how the team builds Design and analyze experiments to help the team learn, ship, and measure impact Lead product measurement for the team, including metrics design, implementation, and goal setting Scale data visibility and access through dashboards or other tools ---- What You Will Need ---- Coding with data (SQL, Python / R) Data visualization Statistics and experimentation ---- Preferred Qualifications ---- Technology and product experience Marketplace experimentation Modeling or causal inference

Design, develop, and maintain backend services, data pipelines, and offline datasets related to web events and analytics. Lead the development of new foundational capabilities in support of enabling our users to interact with, analyze, and derive insights from their data. Solve complex and challenging problems in the intersection between low latency, high correctness, and full determinism. Participate in code reviews, provide mentorship to junior team members, and enforce coding standards. Investigate, diagnose, and resolve software defects and issues, ensuring a high level of product quality. Contribute to the overall architecture and design of data ingestion frameworks ---- Basic Qualifications ---- Bachelors or Masters degree in Computer Science or a related field. 7+ years of professional experience software development experience Proficiency in developing and maintaining production grade backend services Experience working on systems operating at large scale ---- Preferred Qualifications ---- Experience with adtech or growth platforms Experience with stream processing frameworks such as Apache Flink Experience in data engineering

As an Staff Engineer in E+V, you will be working in one of these sub-areas, driving design and architecture of products & systems, leading engineering excellence initiatives and maintaining operational health of the underlying systems in perfect health, ensuring high availability and reliability. You will also be mentoring SSEs, SE-IIs and SEs working in your team. You will be taking guidance from Sr Staff Engs and collaborating with EMs from partner teams and cross-functional stakeholders to deliver your projects. What you'll Do: Design/architect, develop and/or test software applications using Ubers technology stack Apply technical knowledge to evaluate complex development/projects and provide recommendations to resolve complex technical issues; you'll be very close to business concerns, working alongside Product Managers, Designers, Data Scientists and Operations team, to understand whats most important, and translating that to systems, designs, and code that best solves for today, as well as plans for tomorrow You will build user-facing products - the work you do will impact every single Earner and operations. You will be responsible for the delivery of high quality products with fast iterations. What you'll Need: Grit, drive and a deep feeling of ownership. Minimum 10+ years hands on experience in developing distributed computing systems at internet scale. Good understanding of databases, messaging and system design for resiliency and reliability Experience analysing a feature in production using analytics and experiments Experience collaborating on projects and working efficiently as part of a team Thriving in ambiguity and having a go-getter attitude

Work with tax operations, product, compliance, engineering, ops, accounting and other business stakeholders in mining and analyzing tax financial and entity-level data to extract key trends and insights. Investigate and resolve discrepancies in tax data, generate reports for external data sharing. Build effective visualizations to communicate data to key decision-makers. Be a trusted advisor to stakeholders cross-functionally. Build models to automate detection of anomalies/inconsistencies in tax data and resolve the same; Build end to end data pipelines and self serving dashboards. Automate whatever you can! Explore FinTech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies. Communicate your findings to cross-functional peers and management. Get a deep understanding about the Tax systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practice. ---- Basic Qualifications ---- M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelors degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent) Advanced SQL expertise Ability and experience in extracting insights from data, and summarizing learnings / takeaways to cross-functional stakeholders. Experience with Excel and some dashboarding/data visualization (ie Tableau, Mixpanel, Looker, or similar) Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries ---- Preferred Qualifications ---- Experience with either Python or R Basic understanding of experimental design (such as A/B experiments) and statistical methods Demonstrated aptitude toward data storytelling and root cause analysis using data Enthusiastic, self-starting and thrives in changing, agile environments Liaise with Product and engineering counterparts to launch and impact new products Strong communication and organization skills Ability to multi-task while maintaining quality and detail Prior experience working in Finance, FinTech, Tax, Payments or a related area is a plus

Candidate will be responsible for breaking down complex requirements into achievable production code. Candidate will design, build, monitor, and support key payment flows that have high requirements for both performance, availability and accuracy. Analyze and decompose complex software systems and collaborate with cross-functional teams to build high performance systems. This position will require candidate to be on call for urgent issues affecting production systems. ---- Basic Qualifications ---- Strong backend software engineering experience including CS fundamentals. Bachelor's degree in Computer Science or related technical field or equivalent practical experience required. Expertise in golang or Java Experience in high volume, production systems including high quality code, deployment, monitoring and reliability. Self-driven to identify opportunities and improve systems. High levels of adaptability and willingness to learn. ---- Preferred Qualifications ---- Prior experience in platform-level system design and support. Background in building high-performance, scalable distributed systems. Domain knowledge of the payments and/or financial space.

About the Role: The Uber Global Scaled Solutions (GSS) team is seeking an experienced, results-oriented Training Manager to join our team. This role focuses on advancing and enabling various training initiatives by utilizing cutting-edge techniques and strategies to enhance learning outcomes. The Training Manager will play a crucial role in transforming training experiences by developing comprehensive and tailored learning curriculums for different learning personas and capacities. The ideal candidate should be able to assess current learning trends and possess the vision to accelerate training readiness through innovative and effective training methods. Additionally, in this role, you will also be responsible for ensuring the training content is the best in the industry, and current state utilizing new ways to teach through bite-sized content, engaging and quick training snippets, keeping in mind our unique and non-traditional leaner base. Basic Qualifications Bachelors degree in English, Journalism, Education, Training, Human Resources, or a related field, or equivalent practical experience. 6+ years of proven experience as an L&D/Training Manager, preferably in a corporate training environment with a track record of designing and implementing training programs. Possess excellent communication skills, capable of conveying complex ideas effectively to diverse audiences. Understanding of adult learning principles and familiarity with instructional design methodologies Familiarity and knowledge of learning and development methods and subsequent e-learning platforms and practices Proficiency with content creation tools like Vyond, Adobe Creative Suite, and Articulate Storyline is a must, and experience in using Learning Management Systems as a platform for project management Demonstrated excellence in digital research Proven ability to effectively find resources and conduct research online to support program success or identify better candidates for tasks that training will be given to. Demonstrated excellence in strategic digital research for identifying exceptional talent with precise role-specific competencies, implementing targeted pre-screening protocols that evaluate both technical qualifications and adaptability to training while ensuring optimal candidate-to-task alignment. Project management with the ability to manage multiple priorities, meet deadlines, and work effectively with cross-functional stakeholders. Need to have Creative problem-solving abilities and a passion for innovation in training and development. Exhibit strong analytical skills, with a proven track record of making data-driven business decisions. Strong working knowledge of productivity tools such as Google Docs, Sheets, Slides, or equivalent. Innovative thinker capable of generating compelling content, ideas, and narratives. Worked at a high-paced, fast-growing tech startup, or large tech company, or has a consulting background Proficient in content creation techniques, including design and CMS tools like Vyond and Articulate, with the ability to develop creative and micro-learning content based on Training Needs Analysis (TNA). Preferred Qualifications Experience in driving automated solutions to streamline training delivery MBA in any related field is an added advantage Experience in driving automated solutions to streamline content delivery and assessment processes is an added advantage. What You will do: Training Delivery You will develop and implement comprehensive training programs, evaluate training needs, design training programs, and assess learning effectiveness. Partner with stakeholders and SMEs to design and develop programs that align with business objectives and product requirements while addressing the needs of a diverse audience. Manage and maintain training repositories, SOPs, and other channels to ensure accurate and up-to-date information is available to all stakeholders. Groom a team of remote trainers, instructional designers, and coordinators, to deliver high-quality training programs. Identifying training needs and priorities through needs assessments, performance evaluations, and stakeholder feedback. Track and report on training metrics and KPIs to measure the impact and ROI of training programs. Content Development Develop engaging and effective training materials, including e-learning modules, videos, and interactive presentations using assets such as graphics, animations, simulations, and interactive exercises. Provide quality oversight and be accountable for all written and visual content to ensure top-notch standards are maintained in terms of style, grammar, authenticity, originality, and creativity, for all training materials (while strictly adhering to Ubers style guide and legal requirements) Streamline written and visual content into bite-sized content (30 seconds to 2-minute minutes), using creative storyboarding and animatics to draft video concepts. Lead and groom a team of storyboard artists, instructional designers, and content developers to build engaging content to improve learner retention, facilitating consistent production output quality. Collaboration and continuous improvement Evaluate the effectiveness of existing training curriculums and make data-driven recommendations for improvement and enhancement. Collaborate to create engaging and effective training materials, including e-learning modules, videos, and interactive presentations to enhance training delivery and effectiveness. Knowledge of L&D Trends Research and assess the potential impact of new trends on training initiatives, recommending innovative solutions to enhance learning outcomes and customize learning for different audiences Drive LMS Management adoption across all workflows. Stay updated on emerging LMS features and automation tools to enhance the learning experience and drive innovation. Domain Experience Learning & Development, Training need analysis, Data Analysis, Content strategy, Adaptability, Training models and curriculum development.

The Core Analytics & Science Team (CAS) is Ubers primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Ubers cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Ubers global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. What Youll Do: Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. What Youll Need: Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 9+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions Excellent understanding of statistical principles backed by an academic foundation Advanced SQL expertise Experience with either Python or R for data analysis Significant experience in setting up and evaluation of complex experiments Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Experience with Excel and some dashboarding/data visualisation (ie Tableau, Mixpanel, Looker, or similar)

Uber is looking for Sr Software Engineer - Frontend to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams, including product managers, designers, and backend engineers, to develop and implement web applications with a focus on the frontend Translate design mockups and wireframes into responsive and interactive user interfaces using HTML, CSS, and JavaScript Write clean, efficient, and maintainable code following best practices and coding standards Develop and maintain reusable frontend components and libraries to ensure consistency and efficiency in development Implement user-friendly and intuitive UI/UX designs that provide an exceptional user experience Optimize application performance and responsiveness through code optimization, caching techniques, and efficient data handling Conduct thorough testing and debugging of frontend code to identify and resolve defects or issues Collaborate with backend engineers to integrate frontend interfaces with backend APIs and services Stay updated with emerging frontend technologies, frameworks, and best practices and propose their adoption where appropriate Ensure cross-browser and cross-device compatibility of web applications Participate in code reviews to maintain code quality and provide constructive feedback to team members Collaborate with designers to provide technical input and feasibility analysis during the design process Document frontend design, development processes, and technical specifications Work in an Agile development environment, participate in sprint planning, and deliver high-quality code within project timelines

Uber is looking for Sr Software Engineer to join our dynamic team and embark on a rewarding career journey Design, develop, and maintain software applications and systems, using a variety of programming languages and technologies Write high-quality, maintainable, and scalable code, and conduct code reviews to ensure that standards are met Work on complex projects and provide technical leadership to junior engineers Collaborate with cross-functional teams, including product management, design, quality assurance, and operations, to deliver software solutions Mentor and train junior engineers, and provide guidance and support to ensure their professional development Strong leadership, communication, and interpersonal skills Strong problem-solving and analytical skills

As an ML Engineer, you should be able to apply Machine Learning to Solve complex business problems and optimize customer experience, and work closely with stakeholdaers to formulate machine learning problems within the business context. Build end-end ML systems for designing, training, testing, optimization, deploying, and serving machine learning models. Write ML system design docs and production-level codes to train your ML models into working pipelines and serve models for large-scale online traffic. About the team The Data Intelligence Platform team is responsible for designing core foundational data sets critical to understanding customers needs and helping business teams make the right decisions in solving these crucial problems. The team s mission is to ensure high quality for all the critical data flows for analytics purposes across all verticals in Uber and enable faster implementation of data needs by building standardized tools and frameworks for accurate analysis. We are now expanding our charter to solve some of the critical business problems using ML Engineering for the Mobility Business. Join us to be part of a thriving culture while solving exciting problems at scale. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Build ML solutions to solve business needs across the Rider organization with over 300+ engineers. Some of the types of projects you will work on for e.g: Address the under-supply problem and reduce the pickup ETA Improve the overall experience of the Riders at the Airport ---- Basic Qualifications ---- Engineering Degree or equivalent in Computer Science, related field Experience in one or more Programming languages (e.g. C, C++, Java, Python, or Go) Training using data structures and algorithms Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib Good problem-solving and analytical skills Good team player and collaboration skills. ---- Preferred Qualifications ---- 3+ years of professional software engineering experience in industry Experience deconstructing real problems, including selecting the proper data structure and developing an appropriate algorithm and pushing to production Experience designing ML solutions, and implementing those solutions at scale Scalable ML architecture Deep Learning experience

Uber is looking for Sr Software Engineer - iOS to join our dynamic team and embark on a rewarding career journey Develop and maintain native iOS applications using Swift or Objective-C Collaborate with designers and product managers to understand requirements and translate them into technical specifications Implement user interfaces using Apple's UIKit framework, ensuring high-quality and responsive designs Integrate with backend services and APIs to fetch and store data, ensuring smooth data flow and efficient performance Write clean, modular, and maintainable code, following best practices and coding standards Conduct thorough testing and debugging to identify and fix issues, ensuring the quality and stability of the applications Stay up-to-date with the latest iOS technologies, frameworks, and trends, and proactively propose improvements to enhance the app development process Collaborate with cross-functional teams to plan and execute feature development and releases, ensuring timely delivery Participate in code reviews to maintain code quality, provide feedback, and suggest improvements Work in an Agile development environment, actively participating in stand-ups, sprint planning, and retrospectives

As a Product Designer, youll take on interaction and service design challenges, and youll work on big new ideas that will transform how people use our product. Youll collaborate with engineers, product managers and some of the worlds best designers and researchers in a fast-paced, rapidly growing environment. Youll make magic by crafting and shipping delightful experiences for people around the world. ---- What the Candidate Will Do ---- Design end-to-end mobile experiences for consumer vehicles that empower earners and riders Influence product, and shape strategy and direction for big company bets Break down large ambiguous problems into simple solutions and drive them from concept through completion. Set the standard on design quality across the organization Think systematically, to make experiences as scalable as they are sophisticated and delightful Work with our UX Research team to understand and design solutions for customers across 6 continents. ---- Basic Qualifications ---- 3+ years experience in designing consumer products Experience with service design/systems thinking and integrating products/services across a platform A portfolio showing your high quality, thoughtful visual and interaction work ---- Preferred Qualifications ---- Experience working and collaborating in cross-functional environments Experience designing for mobile apps is preferred Can demonstrate thinking at a high level about product strategy and vision Experience with identifying and solving complex and ambiguous design problems A track record of shipping great design, and an understanding of what details matter at each stage of the release cycle Effective prototyping skills (motion design skills are a bonus)

You would be joining as a Business Operations Manager in Uber, India South Asia region for building and scaling business operations for Uber Intercity. This role requires you to wear an entrepreneur s hat and craft and execute a strategy for exponentially growing Intercity. You need to develop a strong understanding of the outstation travel industry, competitor landscape and consumer needs. You would work with cross-functional teams to acquire riders, improve product experience and strengthen our competitive edge in the market. What the Candidate Will Do Create a coherent vision & strategy to scale Intercity. Develop a deep understanding of the outstation travel industry, competitor landscape and consumer needs; and assess growth opportunities for Intercity. Monitor industry trends and competitor landscape and dynamically respond to market needs. Understand existing gaps in our offering on rider/ driver/ marketplace fronts; collect insights via user research and quantitative data; and collaborate with the Product team to shape Intercity product roadmap. Develop and execute growth hacking and rider acquisition/ engagement initiatives. Analyze rider data, including rider profiling, rider funnel analysis, rider lifecycle management, etc to extract insights that drive growth. Leverage problem-solving skills to identify issues on the marketplace, rider, and driver fronts. Use data analytics and qualitative research to test hypotheses, make sound business judgments, and decide on the next steps. Show agility and execution excellence in addressing these issues in a time-bound manner. Cross-functional collaboration & program management for executing projects identified (eg, Product, Supply, Core Marketplace, S&P, Marketing, CommOps, Policy, Comms, Legal, Ops etc). What the Candidate Will Need 3+ years of relevant experience in management consulting, high-growth startups, investment banking or similar professions with a high focus on strategic thinking, problem-solving and data analytics. Proficiency in data analytics & SQL is a strong plus for deriving business insights and taking data backed decisions. Bachelors degree from top universities in Engineering, Economics, Business, or other disciplines with a quantitative focus. Strategic thinking, structured problem solving and business acumen. Manage and deliver end-to-end projects on time with autonomy in a rapid growth environment; and demonstrated ability to coordinate, plan and prioritize tasks across multiple projects. Creative mindset that enjoys experimentation and is willing to take bold bets despite risk of failure. The ability to communicate and present information to stakeholders across all levels of the business. Ability to manage a wide spectrum of cross functional stakeholders.

The FinTech - Data Science team at Uber is on the lookout for an exceptional Data Scientist to join our Finance Data Store (FDS) team in Hyderabad, India. This is not just another data science role you will be at the core of Ubers financial data ecosystem , driving automation, anomaly detection, and financial forecasting that power Ubers global operations. In this role, youll work hand-in-hand with Finance, Engineering, Data Science, Product and Operations teams to turn raw financial data into meaningful insights and strategic decisions . Youll build cutting-edge machine learning models , develop financial forecasting tools , and create scalable, automated data pipelines that fuel Ubers financial strategy. If youre a data powerhouse with a passion for financial modeling, analytics, and automation , this is your chance to make a massive impact at a company that moves millions of people every day. Why Join Us The Finance Data Store (FDS) team sits at the heart of Ubers financial ecosystem , influencing high-impact decisions across Finance, Operations, and Data Science. Were the data backbone of Ubers financial strategy , ensuring our numbers are accurate, scalable, and automated. If you love diving deep into financial data, driving innovation through machine learning, and collaborating with world-class teams , this is the place to be.

As a **Senior Security Engineer**, you will be responsible for the design and development of Identity and Access Governance systems and microservices responsible for authentication, authorization, and single sign-on app integrations. You are responsible to build new Features, APIs, Rules, Workflows, Analytics, Tasks and Reports for the Information Security org. You will be responsible for providing and assisting in defining Identity Security controls, best practices, compliance controls for Uber s internal workforce and services. You will also be responsible for identification and adoption of security trends, software engineering best practices defined by Uber engineering and be the flag bearer of the same within and outside the team. Design and Build extensible access governance features, centralized and adaptive access management system, and Risk Models for the organization. The team is going through an exciting transformation of Identity and Access management solutions, and a strong engineer with an ability to think out-of-the-bos is going to be a tremendous addition to this team. What the Candidate Will Do \* Provide technical leadership in designing, implementing, testing, and rolling out the Identity platform (eg SailPoint IIQ, Cloud Identity, LDAP, MFA, SSO, etc) at Uber. \* Practice Software engineering best practices while writing or reviewing code \* Develop high quality engineering design documents for new integrations and initiatives \* Engineer, Configure, Implement and maintain Identity and Access Management solutions and services \* Resolve bugs through strong programming, critical problem solving, database query skills \* Lead design and implementation engagements with other teams and be the voice of the team in those meeting while having empathy for the customer \* Change Management to critical platforms using Terraform Services Standard Build code. \* Design, Implement, maintain, manage and troubleshoot birthright provisioning and access certifications. \* Use css and js based front end customization skills to customize interfaces and build custom interfaces. **Basic Qualifications:** * 7+ Years of experience in development, Design and consulting for developing, designing SailPoint IIQ or similar IGA solutions, and Authentication platforms at large organizations. * Experience with developing complex software systems scaling to millions of users with production quality deployment, monitoring, and reliability. * Experience with large-scale distributed storage and database systems (SQL eg MySQL) * Ability to decompose complex business problems and help lead multiple teams in solving them. * Understand Role-Based Access Control, Policy-Based Access Control, Attribute based access control, Governance, Access Certification in SailPoint * Experience in Web and Middleware technologies such as Nginx, Tomcat, Weblogic * Skill set in traffic management, Service and Session Load balancing skills primarily on HAProxy, NLB and F5 are added benefits. **Bonus points** * Industry certifications such as CISM (certified information systems manager) certified java programmer), CISSP (certified information systems security professional), CISA (certified information systems auditor) * 3+ Years working experience in Devops, Linux, Puppet and Infrastructure automation * Relevant Certifications from the Industry and Technology such as SailPoint, Google Cloud, Microsoft, Cisco and Redhat. * Relevant patents in personnel identity, authentication and authorization areas.

As a Product Designer, you'll take on interaction and service design challenges, and you'll work on big new ideas that will transform how people use our product. You'll collaborate with engineers, product managers and some of the world's best designers and researchers in a fast-paced, rapidly growing environment. You'll make magic by crafting and shipping delightful experiences for people around the world. This is a Product Design / User Experience Design position on the Rides Design team You will work on Uber's flagship consumer experience: Riders all over the world take over 100 million Uber rides every month. As a designer on this team, you have the opportunity to drive real change for people, for the processes that get us there, and the product innovations that we'll build. This team thinks about frameworks and scalability and is passionate about craft and quality. We partner closely with systems designers, engineers, and product partners. We also collaborate widely with all teams that build into the Uber app. ---- What the Candidate Will Do ---- An expert on the Uber Design team: Learn how we collaborate and use design tools, how to design with the Uber Base design system, and be an example of how we design for clarity, inclusion, accessibility, scalability, and global localization An expert in your product area: Learn about complex business goals and strategy, understand existing tech platforms, and build on your teams product development and launch review process Scope: Work on projects of all sizes, from problems that are well-known to those more complex and conceptual, while leading a roadmap in your product area. Process: Build a deep understanding of the users youre designing for through data and research, lead the end-to-end design process, solicit and incorporate feedback from experts, translate your designs to build with engineers, and work flexibly with a variety of teams. Design at all levels of fidelity and practice good judgment on making tradeoffs. Craft: Deliver designs that are innovative and sophisticated, buildable and scalable, and are thoroughly documented. Develop a strong understanding of business, data, and engineering requirements, and create experiences that deliver customer value. Efficiency: Prioritize and manage your time efficiently, operate with a high level of autonomy, and adapt easily to challenges. Communication: Communicate with clarity and persuasiveness, and effectively present your work and rationale to all the relevant stakeholders. Proactively connect with your team and manager, facilitate design sessions, and collaborate with other designers. ---- Basic Qualifications ---- 6+ years of experience building products for mobile apps Proficiency with Figma or similar tools and prototyping methods Experience working and collaborating in a tech environment A portfolio showing your high-quality, thoughtful UI and UX work ---- Preferred Qualifications ---- A degree in HCI, Graphic Design, or a related field Experience working with user experience researchers and various methods of research and user testing Experience designing experiments or A/B testing Experience building into design systems and implementing systems components with engineers