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Data Scientist

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Uber

10d ago

  • Job
    Full-time
    Mid Level
  • Data
    Research & Development
  • Sunnyvale

AI generated summary

  • You need 3+ years in a quantitative role, SQL expertise, BI tool experience, strong problem-solving skills, a relevant degree, and knowledge of ML techniques, A/B testing, and LLM integration.
  • You will analyze data, create dashboards, evaluate KPIs, conduct exploratory analysis, collaborate on data-driven decisions, and communicate insights to stakeholders.

Requirements

  • 3+ years in quantitative/analytic role, preferably within tech
  • Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as customer lifetime value models, funnel optimization.
  • 1+ years experience with BI Tools such as Tableau, MicroStrategy, Power BI or Looker
  • Expertise using data modeling skills to identify key product trends and new product opportunities
  • Ability to design implement, and track core metrics to analyze the performance of our products
  • SQL expert and a good understanding of databases, data relationships and data integrity
  • Demonstrated ability to think strategically about business, product, and technical challenges
  • Strong communication skills and customer empathy, capable of pushing for the best solution with tact
  • Strong problem solving skills and ability to translate ambiguous, unstructured problems into actionable data-driven analyses
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field
  • Excellent planning and project management skills
  • Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
  • Experience in a product-focused role at a social media and/or mobile technology company
  • Experience handling structured and unstructured data from internal and third-party sources
  • Experience with Python, Javascript, and R are plus
  • Strong communication and interpersonal skills
  • Exposure to Web Analytics such as Google Analytics, Adobe Analytics/Omniture, Heap Analytics
  • Experience with causal inference techniques, experimental design and/or A/B testing
  • Leveraging and integrating large language models (LLMs) to enhance analytics, automate workflows, and improve user interaction and decision support.

Responsibilities

  • Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
  • Define, measure, and analyze business metrics and product KPIs
  • Create tableau dashboards and the underlying data aggregations in GCP
  • Conduct exploratory analysis to inform product strategy and evaluate recently released or existing products or features
  • Partner with multiple team members to make data-driven decisions across the organization by leveraging descriptive and predictive analytics
  • Work from the inception of a specified business problem identified by data to delivery of a solution, identify opportunities to fix or improve processes that make Uber better in the long term
  • Put together seemingly disparate pieces of data, build out the data pipeline and create interactive dashboards, provide comprehensive analytics support to partner teams, primarily through development of self-serve tools (such as Tableau and Looker)
  • Write queries, contribute to larger-scale products/projects and perform ad hoc analyses as needed, apply a diverse set of techniques including statistics, quantitative reasoning to help grow the business
  • Comfortable with working in fast-paced environments to find answers to critical questions with data and be decisive in an ambiguous situation
  • Determine and monitor essential metrics for product projects
  • Own, drive, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science
  • Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written format

FAQs

What is the required experience for this Data Scientist position?

The position requires 3+ years of experience in a quantitative/analytic role, preferably within the tech industry.

What technical skills are necessary for this role?

Candidates should be SQL experts and have a good understanding of databases, data relationships, and data integrity. Experience with BI tools such as Tableau, Looker, MicroStrategy, or Power BI is also required.

What type of educational background is preferred for this position?

A Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field is required. An advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field is preferred.

Will I be involved in building dashboards and reporting tools?

Yes, you will be responsible for creating Tableau dashboards and the underlying data aggregations in GCP, along with building interactive dashboards and self-serve tools.

Is experience with machine learning techniques necessary?

Yes, candidates should have experience applying data-backed heuristics and machine-learning techniques to solve practical product problems.

How would I communicate my findings to stakeholders?

Strong communication skills are essential; you will need to effectively communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written formats.

Are there opportunities for growth and career advancement in this role?

Yes, you will have the opportunity to lead experimentation and growth projects, partner with stakeholders, and identify opportunities for improvement, which can facilitate career advancement.

What is the salary range for this Data Scientist position?

The base salary range is USD$140,000 per year - USD$156,000 per year for San Francisco and Sunnyvale locations.

Are there additional benefits offered to employees?

Yes, employees will be eligible to participate in Uber's bonus program, may be offered equity awards and other types of compensation, and will have access to various benefits. More details can be found at [Uber's benefits page](https://www.uber.com/careers/benefits).

Is prior experience in a product-focused role necessary?

While not mandatory, experience in a product-focused role at a social media and/or mobile technology company is preferred.

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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