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Sr. Scientist - Mobility Matching

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Uber

3d ago

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

AI generated summary

  • You need a Ph.D. in a quantitative field, 2+ years of relevant industry experience, strong knowledge of statistics and machine learning, proficiency in Python or R, and expertise in experimental design.
  • You will develop insights, analyze experiments, optimize algorithms, and collaborate with teams to drive mobility matching from concept to product.

Requirements

  • Basic Qualifications
  • Ph.D. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
  • Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
  • Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
  • Proven experience in experimental design (e.g., A/B testing) and causal inference.
  • Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
  • Experience with exploratory data analysis, statistical analysis and testing, and model development.
  • Preferred Qualifications
  • Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
  • Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
  • Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
  • Proven experience in experimental design (e.g., A/B testing) and causal inference.
  • Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
  • Experience with exploratory data analysis, statistical analysis and testing, and model development.

Responsibilities

  • Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
  • Design and analyze experiments, communicating results that draw detailed and actionable conclusions
  • Analyze and contribute to development of optimization algos and ML models for use in mobility matching
  • Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

FAQs

What is the role of a Sr. Scientist in the Mobility Matching team at Uber?

The Sr. Scientist will develop data-driven business insights, design and analyze experiments, contribute to the optimization of algorithms and machine learning models for mobility matching, and collaborate with cross-functional teams to drive system development from conceptualization to final product.

What qualifications are required for this position?

Candidates must have a Ph.D. in a quantitative field (such as Statistics, Economics, Machine Learning, Operations Research, or Computer Science) and a minimum of 2 years of relevant industry experience.

Is experience in experimental design important for this role?

Yes, proven experience in experimental design, such as A/B testing and causal inference, is required.

What programming languages should applicants be proficient in?

Applicants should be proficient in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.

What is the expected salary range for this role?

The base salary range for this role is USD $190,000 per year to USD $211,000 per year, depending on experience and qualifications.

Are there benefits included with this position?

Yes, full-time employees are eligible for various benefits, including participation in Uber's bonus program, equity awards, a 401(k) plan, and more.

Is this position available for remote work?

Yes, we support remote work but in a hybrid format.

What kind of experience is preferred for applicants?

Preferred qualifications include a Ph.D. or M.S. in a quantitative field, a minimum of 5 years of industry experience as an Applied Scientist or Data Scientist, and strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.

What kind of collaboration will take place in this role?

The role involves collaborating with cross-functional teams such as product, engineering, and operations to drive system development from conceptualization to final product.

What types of analyses will the Sr. Scientist be involved in?

The Sr. Scientist will engage in exploratory data analysis, statistical analysis and testing, and model development, as well as creating data-driven business insights.

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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