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Data Scientist II

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Uber

10d ago

  • Job
    Full-time
    Mid Level
  • Data
    Product
  • San Francisco

AI generated summary

  • You need 3+ years in product analytics, a relevant degree, advanced SQL/Python, basic stats knowledge, data storytelling skills, and the ability to engage with both technical and non-technical partners.
  • You will refine questions, develop KPIs, collaborate on data integrity, and generate insights to prioritize product and growth initiatives.

Requirements

  • 3+ years proven experience in product analytics or ontological data modeling.
  • M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • Advanced SQL and Python expertise.
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods.
  • Ability and experience in extracting insights from data, and summarizing learnings / takeaways.
  • Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar).
  • Excellent judgment, critical-thinking, and decision-making skills.
  • Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields.
  • 4+ years industry experience in consumer facing product analytics.
  • Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story.
  • Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
  • Ability to solve complex business problems that cross multiple product/project areas and teams.
  • Balance attention to detail with swift execution.

Responsibilities

  • Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business.
  • Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing.
  • Collaborate with data 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 identify opportunities and recommend prioritization of product, growth, and optimization initiatives.

FAQs

What is the main responsibility of the Data Scientist II role at Uber?

The main responsibility includes providing data expertise to ensure that Uber's policies on gaining and maintaining access to the platform are transparent and fair, as well as conducting deep dive analyses and working with cross-functional partners to drive product and policy decisions.

What qualifications are required for this position?

The basic qualifications include 3+ years of experience in product analytics or ontological data modeling, an M.S. or Bachelor's degree in a quantitative field, advanced SQL and Python expertise, and a basic understanding of experimental design and statistical methods.

Is there a specific location for this job?

Yes, this position is based in San Francisco, CA.

What is the salary range for the Data Scientist II role?

The base salary range for this role is USD$140,000 per year to USD$156,000 per year.

Are there opportunities for bonuses or equity awards?

Yes, you will be eligible to participate in Uber's bonus program and may be offered an equity award and other types of compensation.

What kind of benefits does Uber provide for this role?

Uber offers various benefits, and more details can be found on their careers website.

What skills are preferred for this role in addition to the basic qualifications?

Preferred qualifications include advanced degrees in relevant fields, 4+ years of industry experience in consumer-facing product analytics, strong storytelling abilities, and effective communication skills with both technical and non-technical partners.

How does this role collaborate with other teams?

This role will collaborate closely with operations, engineering, product management, and partner data teams to develop metrics, insights, and policy/product solutions.

What kind of data tools or technologies will I need to use in this role?

You will need advanced skills in SQL and Python, as well as experience with Excel and data visualization tools such as Tableau, Mixpanel, or Looker.

What types of projects will a Data Scientist II be involved in?

A Data Scientist II will be involved in refining ambiguous questions, generating new hypotheses, developing Key Performance Indicators, conducting analyses to understand opportunities, and recommending product and growth initiatives.

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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