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Data Scientist II

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Uber

6d ago

  • Job
    Full-time
    Mid Level
  • Data
    Research & Development
  • New York

AI generated summary

  • You need a relevant degree, 4+ years of experience, strong SQL and Python/R skills, expertise in data visualization, advanced statistical knowledge, and excellent communication abilities.
  • You will build analytics tools, analyze data for business impact, collaborate with teams on experiments, ensure data quality, and effectively communicate insights to non-technical stakeholders.

Requirements

  • Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • 4+ years experience as a Data Scientist, Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions
  • Excellent understanding of statistical and scientific principles
  • Advanced SQL expertise
  • Experience with either Python or R for data analysis
  • Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways.
  • Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Looker, or similar)
  • Proven aptitude toward Data Storytelling and Root Cause Analysis using data
  • Ability to learn and adapt to new methodologies for data collection and analysis
  • Advanced experience with experimental design and statistical methods such as causal Inference.
  • Experience in utilizing AI features in reporting to enhance reporting products and deliverables.
  • Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
  • Excellent judgment, critical thinking, and decision-making skills
  • Proven ability to identify key stakeholders and manage high expectations

Responsibilities

  • Help build a new analytics suite that helps prove and increase the impact that TA has on the business.
  • Innovate new ways to analyze TA/People data that drives incremental business impact.
  • Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to partners and stakeholders.
  • Work closely with the Engineering teams to create data instrumentation and improve data quality.
  • Collaborate with cross-functional organizations to find opportunities, design, implement and analyze experiments, and perform deep dives for better decision-making.
  • Communicate optimally with non-technical customers on technical topics.

FAQs

What role will the Data Scientist II play within the TA Analytics team?

The Data Scientist II will help build a new analytics suite, innovate ways to analyze TA/People data, and provide practical insights to stakeholders by applying appropriate analytics, causal inference, experimentation, and machine learning.

What are the basic qualifications required for this position?

The basic qualifications include an undergraduate and/or graduate degree in a quantitative field, 4+ years of relevant experience, advanced SQL expertise, experience with Python or R, and a proven ability to extract insights from large datasets.

What skills are preferred for this role?

Preferred qualifications include advanced experience with experimental design and statistical methods, experience utilizing AI in reporting, and strong communication skills to manage relationships with both technical and non-technical partners.

What technical tools and languages should candidates be familiar with?

Candidates should be proficient in SQL, have experience with either Python or R for data analysis, and have some familiarity with data visualization tools like Tableau or Looker.

What is the salary range for this position in different locations?

The base salary range for this role is USD$142,000 per year to USD$158,000 per year across locations such as New York, San Francisco, and Seattle.

Are there additional benefits offered to full-time employees?

Yes, full-time employees are eligible to participate in a 401(k) plan, bonus programs, and may receive equity awards and various other benefits.

What kind of work environment can a candidate expect in this role?

The role is dynamic and collaborative, requiring proactive thinking and flexibility with shifting project priorities while interacting with a variety of cross-functional teams and stakeholders.

How important is communication in this role?

Communication is crucial, as the Data Scientist II must effectively convey complex technical topics to non-technical customers and collaborate effectively with diverse stakeholders.

Will there be opportunities for professional growth in this position?

Yes, the role encourages innovation and the identification of new analytical features and enhancements, providing opportunities for professional growth and learning in advanced analytics methodologies.

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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