Data Scientist Latam Rides Central Ops jobs at Uber

What You'll Do

• Catalog Onboarding : Manage the different pathways we enable merchants to bring on their product & inventory data onto the platform, focussing on quality assurance and reliability.
• Cross-Functional Collaboration: Partner with Commercial and Integration Engineering teams to integrate merchants’ catalog/inventory systems with Uber’s native catalog platform.
• Process Monitoring and Development: Design and monitor processes to ensure the accuracy, health, and reliability of product data across the platform.
• Product Feature Rollout: Assist in building and launching Uber’s Universal Product Database for EMEA countries, enhancing the accuracy and reliability of product information at scale.
• Category Growth Enablement: Support category-led growth opportunities, such as CPG (Consumer Packaged Goods) ads, by developing and leveraging category and product-level insights.

What You'll Need

• 3+ years of professional work experience in a related field (business operations, tech, analytics, consulting, banking, etc.)
• An analytical mindset and strong business acumen; you have experience using SQL and advanced Excel, and are comfortable translating technical details to business outcomes
• Highly collaborative; you know how to collaborate, engage and partner with a variety of different stakeholder groups in order to achieve shared goals

Preferred Qualifications

• Prior Grocery, FMCG or Retail experience (particularly in catalog/inventory management, business intelligence, analytics or merchandising functions)
• Proficiency in data manipulation, automation or scripting tools (e.g. Python, Google Apps Script, VBA, etc.) is a plus

* 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 .

We’re looking for a strategic and data-driven professional to join the Delivery Commercial Operations team in LATAM as a Senior Strategy & Planning Associate. In this role, you'll champion product adoption and drive demand generation through scalable strategies and tools.

• Act as a regional product champion for Offers: support rollouts, gather feedback, manage escalations, and promote adoption

• Lead planning cycles: define annual and quarterly targets, align with incentive plans, and benchmark against competitor offerings

• Enable commercial teams: lead office hours and training sessions, share best practices, and offer consultative support for campaign optimization

• Design and scale adoption strategies across managed and unmanaged merchants, ensuring alignment with local and global goals

• Build and maintain performance dashboards, automated tools, and offer recommendation systems

• Support the commercial organization with data analysis and insights to inform execution and unlock growth opportunities

• Strong communication skills and the ability to collaborate across functions and influence stakeholders

• Experience presenting to large audiences and driving alignment across teams

• Solid analytical skills, with hands-on experience in Sheets and SQL

• Organizational strength to manage multiple projects and deadlines

• Strategic mindset with an ability to move into execution when needed

• Fluency in English and Spanish

• 5+ years of experience in Strategy & Planning, Sales Operations, Business Analytics, Marketing Ops, or Consulting

• Experience working with CRM platforms (Salesforce or similar)

• Experience with product enablement and commercial tooling

• Exposure to regional or global cross-functional environments

• Comfortable navigating ambiguity and prioritizing effectively in fast-paced settings

* 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

Uber Eats is seeking a Strategic Operations Manager to lead data-driven user engagement strategies across our Retail verticals. You’ll be responsible for identifying high-potential user cohorts, crafting targeted engagement strategies, and optimizing platform levers to drive repeat behavior and long-term retention.

This role blends analytical rigor with executional depth—you’ll analyze user funnels, performance trends, and promotional impact to build scalable, high-impact programs. You'll partner cross-functionally to activate the right product surfaces and messages at the right time, ensuring users stay engaged and convert more deeply.

What You Will Do

• Build: Create more creative and efficient processes to target users with promotions and impressions in a compelling way to generate awareness and repeated engagement
• Analyze: Quantify everything you do. Utilize data-driven decision making to understand business trends and craft your recommendations to senior leadership
• Test and improve: Create a roadmap to methodically increase the impact and efficiency of our promos and communications
• Turn strategy into action: Program manage all aspects of user development and maturation, including weekly spend & CRM tactics, and other in-app levers that impact our growth
• Collaborate: Work with a number of stakeholders like Legal, Data Science, Marketing, and Product to deliver the tools we need to deliver growth

Basic Qualifications

• 3+ years of operations, business/ general management, growth operations, strategy, planning, management consulting or similar experience
• Excellent written and verbal communication skills
• Strong analytical skills and the ability to tackle problems logically; Data-driven approach to decision making and sound business judgment to determine project performance and financial viability, grounded in analytical thinking

Preferred Qualifications

• 1+ years experience in Management consulting, marketplace growth operations, or strategy work in a large business
• Grocery or Retail experience
• Proficiency in Excel/ Google Sheets, SQL preferred
• Bias toward action and master simplifier - constantly pushing toward alignment, clarity and execution on tight timelines
• Phenomenal collaborator and someone who proactively partners across teams
• Self-motivated, works independently and possess strong organization and time management skills
• Creative approach that enjoys experimentation and is willing to take bold bets despite risk of failure
• Strong communicator, especially with external partners or clients

For New York, NY-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 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 .

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

You will develop automations of varying size and complexity, from medium-scale tasks to large-scale business processes, fully automated end-to-end.

As an Automation Specialist, you will be responsible for building solutions that are resilient, scalable, and adaptable, following best practices and continuously refining them with data-driven improvements.

You will translate business requirements into clear technical tasks, delivering automation solutions iteratively and incrementally, and aligning priorities closely with the Operations Coordinator.

We focus on four core areas:

• Business Processes (design, execution, optimization)
• Automation (process automation, real-time monitoring, refactoring)
• Data Analytics (query, deepdive, self-operating dashboard, data pipeline)
• Data Science (modeling, machine learning, patterns identification, prediction)

What you'll do

• Design, build, and maintain automations to enhance efficiency and scalability
• Streamline workflows, automate entire processes, refactor, build data-pipelines
• Suggest innovative approaches to solve complex business problems, at scale, following the best practices in terms of quality, time management, technical documentation, code review
• Analyze business requirements or suggest improvements, proactively
• Conduct root cause analyses and propose data-driven strategies
• Present your work to Stakeholders and adapt your communication to a variety of audiences, using either technical or business terms

What you'll need

• Good knowledge in Python, with the ability to write code to build self-operating dashboards or automate business action, work with API endpoints and use Pandas Library
• Knowledge in SQL, with the ability to select, clear and transform dataset
• Ability to analyze datasets accurately and storytell
• Knowledge in creating Flows (ex.: uWorc, Lucidchart)
• Analytical and data-driven approach for solving complex problems
• Excellent written and spoken Communication (in English)

• Ability to work on your own initiative independently (proactive), in Group (excellent Teammate) and with Stakeholders

• Motivation to learn all along the way and improve continuously Scripts, with SQL and Python, to automate actions of varying sizes and time-horizons.

* 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 .

Basic Qualifications

• 8+ years of experience in people management, inside Retail, Service or Customer Support operations.
• Team management in a fast-paced environment (manufacturing, sales), with a strong ability to guide teams through growth, change, and cultural transformation.
• Stakeholder Management: Highly skilled in influencing and aligning cross-functional teams, including those outside direct reporting lines. Strong ability to navigate organizational dynamics to build consensus and drive shared goals.
• Experience driving operational efficiencies that lead to continuous optimization (team reduction, improving processes, closing facilities).
• Experience making data-driven decisions: Advanced analytical skills with the ability to interpret customer insights, NPS/CSAT metrics, and behavioral data to define strategies.
• Fluency in Spanish and English, with the ability to engage in strategic business discussions in both languages.
• International Team Management: Experience working in or leading teams across different cultures, time zones, and business contexts. Sensitivity to cultural nuances and the ability to adapt communication and leadership style accordingly.

Preferred Qualifications

• Global or Cross-Cultural Team Management: Experience working in or leading teams across different cultures, time zones, and business contexts. Sensitivity to cultural nuances and the ability to adapt communication and leadership style accordingly.
• Agile Program Management: Solid understanding of Agile principles and experience working within Agile or hybrid environments. Comfortable collaborating with Product and Engineering teams using frameworks like Scrum or SAFe.
• Proficiency in Portuguese is considered a strong advantage.

* 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 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.