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Scientist II

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Uber

3mo ago

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity

AI generated summary

  • You need a degree in a quantitative field, 4+ years in data science, ML model experience, Python/R skills, advanced SQL, and a knack for data storytelling and mentoring juniors.
  • You will refine questions, design ML solutions, collaborate on data integrity, measure success with KPIs, conduct experiments, and present insights to senior leadership for data-driven decisions.

Requirements

  • Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • 4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions
  • Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
  • Hands-on experience building and deployment ML models
  • Ability to use a language like Python or R to work efficiently at scale with large data sets
  • Significant experience in setting up and evaluation of complex experiments
  • Experience with exploratory data analysis, statistical analysis and testing, and model development
  • Knowledge in modern machine learning techniques applicable to marketplace, platforms
  • Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop
  • Advanced SQL expertise
  • Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.
  • Proven aptitude toward Data Storytelling and Root Cause Analysis using data
  • Advanced understanding of statistics, causal inference, and machine learning
  • Experience designing and analyzing large scale online experiments
  • Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail
  • Ability to work in a self-guided manner
  • Ability to mentor, coach and develop junior team members
  • Superb communication and organisation skills

Responsibilities

  • Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our business
  • Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide.
  • Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing
  • Design experiments and interpret the results to draw detailed and impactful conclusions.
  • 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 find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
  • Present findings to senior leadership to drive business decisions

FAQs

What qualifications are required for the Scientist II position?

Candidates should have an undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields, along with 4+ years of experience in data science-focused functions.

What skills are essential for this role?

Essential skills include proficiency in Python or R for handling large datasets, knowledge of SQL, Spark, or Hadoop, and a strong understanding of machine learning, statistics, and analytics.

What type of experience is preferred for candidates applying for this position?

Preferred candidates will have advanced SQL expertise, a proven track record of wrangling large datasets, and experience in designing and analyzing large-scale online experiments.

Will I be involved in presenting findings to senior leadership?

Yes, the role includes presenting findings to senior leadership to help drive business decisions.

Is experience in mentoring junior team members part of this role?

Yes, the position includes the ability to mentor, coach, and develop junior team members.

What kind of work will I be doing with data?

You will be refining ambiguous questions, generating hypotheses, designing ML-based solutions, conducting statistical analyses, and interpreting experiments to draw impactful conclusions.

How closely will I be working with engineers in this role?

You will work closely with engineers to productionize, scale, and deploy models worldwide, delivering end-to-end solutions rather than just algorithms.

Are there opportunities for collaboration with other departments?

Yes, you will collaborate with cross-functional partners including Product, Engineering, Operations, and Marketing to develop data-driven business insights.

What kind of statistical techniques will I be expected to use?

You will use statistical techniques to measure success, develop northstar metrics and KPIs, and design experiments to provide a rigorous data-driven approach.

What attributes are important for managing multiple tasks in this role?

The ability to deliver on tight timelines, prioritize multiple tasks, and maintain quality and detail is crucial for success in this role.

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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