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Applied Scientist, Marketing Measurement

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Uber

6d ago

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

AI generated summary

  • You need a degree in a quantitative field, knowledge of statistical modeling, A/B testing, SQL, Python or R, 1+ years in marketing science, strong communication skills, and a curious mindset.
  • You will design and implement experiments, analyze marketing data, collaborate with teams to optimize campaigns, and present findings to enhance marketing measurement and strategy.

Requirements

  • PhD, M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
  • Knowledge of underlying mathematical foundations of statistics, statistical modeling, and experimentation
  • Experience with at least one experiment/quasi-experiment methodology: A/B Testing, incrementality experimentation, CLS, Synthetic Control, Market-Level testing, Causal inference, pre-post-analysis
  • Proficiency in SQL
  • Ability to use Python or R to work efficiently at scale with large data sets
  • If PhD or M.S. in Statistics, Math, or Economics with a minimum of 1+ year of industry experience in a marketing science related role
  • Drive to learn complex topics quickly
  • Strong communication skills including stakeholder management and storytelling
  • Curious disposition, comfort with ambiguity and uncertainty in data
  • Previous experience in advertising tech and/or working with product and engineering teams to build scalable measurement solutions

Responsibilities

  • Plan, design, and implement incrementality experimentation across multiple ad platforms.
  • Design custom experiments including synthetic control and causal inference to measure new and emerging marketing efforts.
  • Leverage statistical modeling to interpret experiment and analytical ad data.
  • Support any ad hoc analysis required to design a robust experiment.
  • Collaborate with the Marketing Channels team to optimize and measure the effectiveness of new and existing campaigns.
  • Present findings across marketing and the broader internal science community.
  • Collaborate with the Product and/or Engineering teams to ensure data is available and being interpreted consistent with theoretical expectation.
  • Partner with internal customers, including Operations, Finance, Product, and the Channel team, to develop paid marketing strategies.
  • Collaborate with other science teams in marketing and other organizations to improve Uber's measurement solutions.

FAQs

What is the primary responsibility of the Applied Scientist in Marketing Measurement?

The primary responsibility is to leverage experimentation, data, and advanced analytics to drive business results for Uber's performance marketing across digital partners globally.

What qualifications are required for this role?

Candidates must have a PhD, M.S., or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields, along with knowledge of statistical modeling and experimentation methodologies.

Is previous experience in advertising measurement necessary for this position?

While previous experience in advertising measurement or a similar field is a plus, it is not strictly necessary.

What programming languages should candidates be proficient in?

Candidates should be proficient in SQL and should have experience using Python or R to work efficiently with large datasets.

What sort of experiments will the Applied Scientist be involved in?

The Applied Scientist will plan, design, and implement incrementality experiments across multiple ad platforms, including custom experiments using synthetic control and causal inference.

What percentage of time is spent on designing experiments versus analysis and meetings?

The typical day involves spending 40% on designing experiments, modeling, or measurement solutions, 40% on deep-dive analysis and results interpretation, and 20% on stakeholder meetings.

Are strong communication skills important for this role?

Yes, strong communication skills, including stakeholder management and storytelling capabilities, are essential for effectively presenting findings.

Where is this position based, and what is the salary range?

This position is based in San Francisco, CA, with a base salary range of USD$155,000 to USD$172,000 per year.

Will the Applied Scientist have the opportunity to collaborate with other teams?

Yes, the Applied Scientist will collaborate with multiple stakeholders including Marketing Channels, Product, Engineering, and other science teams to improve measurement solutions.

What kind of benefits does the company offer?

The company offers a range of benefits, including eligibility to participate in Uber's bonus program, potential equity awards, and various additional benefits detailed on the Uber careers website.

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