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Staff Scientist, Direct & Connect

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Uber

2mo ago

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Data
    Research & Development
  • San Francisco

AI generated summary

  • You need a relevant degree, 2+ years of experience, expertise in marketplace modeling, strong Python/R skills, and the ability to translate complex data into actionable insights for stakeholders.
  • You will analyze data using advanced techniques, communicate insights to executives, collaborate on strategic initiatives, and mentor teams to enhance data-driven decision-making and best practices.

Requirements

  • Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus).
  • Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
  • Strong foundation in marketplace modeling and dynamics, including experimental design (e.g., A/B testing), causal inference, and optimization techniques.
  • Proficiency using Python or R for data analysis, modeling, and prototyping.
  • Ph.D. with 6+ years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
  • Deep expertise in pricing, marketplace modeling, or optimization, particularly in the context of complex multi-sided platforms.
  • Demonstrated ability to extract insights from complex datasets, distill them into actionable strategies, and influence product and business decisions.
  • Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams.
  • Advanced knowledge of experimental design and causal inference techniques, including observational studies and quasi-experimental methods.
  • Hands-on experience working with messy, incomplete, or noisy datasets to generate insights and drive real-world impact.
  • Proven ability to collaborate and influence senior stakeholders (Director level and above) through clear, data-driven recommendations.
  • Strong judgment and critical thinking skills, with a track record of navigating ambiguity, setting priorities, and making high-quality decisions in a fast-moving environment.

Responsibilities

  • Leverage advanced analytical and quantitative techniques-including machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics-to build a best-in-class delivery experience for Uber's Direct & Connect business.
  • Translate complex analyses into clear, actionable insights and effectively communicate findings to executives, business leaders, and cross-functional stakeholders to shape product and business strategy.
  • Collaborate closely with Product, Engineering, and Operations teams to define and drive a roadmap of high-impact initiatives, ensuring that marketplace design, pricing, and fulfillment strategies are informed by rigorous analysis and competitive intelligence.
  • Provide technical mentorship and thought leadership, raising the bar for scientific rigor, championing best practices in statistical and machine learning methodologies, and fostering a strong culture of data-driven decision-making.

FAQs

What is the primary focus of the Staff Scientist role in the Direct & Connect team at Uber?

The primary focus of the Staff Scientist role is to drive the scientific strategy for building a healthy, efficient, and scalable three-sided marketplace for Uber Direct & Connect, which involves analyzing marketplace dynamics, designing incentive systems, and developing models and algorithms for pricing, matching, and fulfillment efficiency.

What qualifications are required for this position?

The position requires a Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field, along with a minimum of 2 years of industry experience in a quantitative role, such as an Applied Scientist or Data Scientist.

Is there a preference for candidates with specific experience?

Yes, candidates with a Ph.D. and 6+ years of industry experience, deep expertise in pricing and marketplace modeling, and a strong background in experimental design and causal inference techniques are preferred.

What programming languages should a candidate be proficient in?

Candidates should have proficiency in Python or R for data analysis, modeling, and prototyping.

What kind of analytical techniques will be utilized in this role?

The role will leverage advanced analytical techniques such as machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics.

Will the Staff Scientist be responsible for mentoring others?

Yes, the Staff Scientist will provide technical mentorship and thought leadership, raising the bar for scientific rigor and championing best practices in methodologies.

What is the salary range for this position?

The base salary range for this role is USD $212,000 - $235,500 per year, depending on the location (New York, NY or San Francisco, CA).

Are there opportunities for bonuses or equity awards?

Yes, for all US locations, employees will be eligible to participate in Uber's bonus program and may be offered equity awards and other types of compensation.

Will the candidate have the opportunity to work with cross-functional teams?

Yes, the candidate will collaborate closely with Product, Engineering, and Operations teams to drive a roadmap of high-impact initiatives.

What are the communication expectations for this role?

Excellent written and verbal communication skills are required, as the candidate must clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams.

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Uber

We reimagine the way the world moves for the better.

Technology
Industry
10,001+
Employees
2009
Founded Year

Mission & Purpose

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Culture & Values

  • Go get it

    Bring the mindset of a champion. Our ambition is what drives us to achieve our mission. How we define a champion mindset isn’t based on how we perform on our best days, it’s how we respond on the worst days. We hustle, embrace the grind, overcome adversity, and play to win for the people we serve. Because it matters.

  • Trip obsessed

    Make magic in the marketplace. The trip is where the marketplace comes to life. The earner, rider, eater, carrier and merchant are the people who connect in our marketplace - and we see every side. This requires judgment to make difficult trade-offs, blending algorithms with human ingenuity, and the ability to create simplicity from complexity. When we get the balance right for everyone, Uber magic happens.

  • Build with heart

    We care. We work at Uber because our products profoundly affect lives and we care deeply about our impact. Putting ourselves in the shoes of the people who connect in our marketplace helps us build better products that positively impact our communities and partners. Our care drives us to perfect our craft.

  • Stand for safety

    Safety never stops. We embed safety into everything we do. Our relentless pursuit to make Uber safer for everyone using our platform will continue to make us an industry leader for safety. We know the work of safety never stops, yet we can and will challenge ourselves to always be better for the communities we serve.

  • See the forest and the trees

    Know the details that matter. Building for the intersection of the physical and digital worlds at global scale requires seeing the big picture and the details. Knowing the important details can change the approach, and small improvements can compound into enormous impact over time.

  • One Uber

    Bet on something bigger. It’s powerful to be a part of something bigger than any one of us, or any one team. That’s why we work together to do what’s best for Uber, not the individual or team. We actively support our teammates, and they support us - especially when we hit the inevitable bumps in the road. We say what we mean, disagree and commit, and celebrate our progress, together.

  • Great minds don't think alike

    Diversity makes us stronger. We seek out diversity. Diversity of ideas. Identity. Ethnicity. Experience. Education. The more diverse we become, the more we can adapt and ultimately achieve our mission. When we reflect the incredible diversity of the people who connect on our platform, we make better decisions that benefit the world.

Benefits

  • Comprehensive Healthcare

  • Flexible Work

  • Uniquely Uber

  • Health & Wellness

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