Marketing Applied Scientist

Uber San Francisco, CA $161,000 - $179,000
Full Time Entry Level

Posted 3 weeks ago

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About This Role

Join a team of Applied Scientists to tackle challenging business problems in marketing analytics and ad tech. Apply rigorous scientific methods and data analytics expertise to make a direct impact on global business performance.

Responsibilities

  • Design and implement experimentation and causal inference methodology for Paid channel incrementality and optimization testing
  • Build production-grade models on large-scale datasets to optimize marketing performance using advanced statistical modeling, machine learning, and optimization techniques
  • Utilize models to address key growth challenges and provide insights on channel optimization, user value modeling, bidding optimization, and targeting optimization
  • Collaborate with cross-functional teams to implement and deploy models and improve analytical solutions with data-driven recommendations
  • Process large scale data using technologies like Spark, Hive, and Uber's proprietary machine learning platform
  • Collaborate with marketing leadership, product, and engineering teams, and participate in project planning and prioritization meetings

Requirements

  • Master's degree in Statistics, Operations Research, Math, or another quantitative field
  • Relevant experience in machine learning, optimization and advanced analytics
  • Expertise with Python
  • Advanced SQL skills - comfortable working with very large data sets

Qualifications

  • Master's degree in Statistics, Operations Research, Math, or another quantitative field.
  • Relevant experience in machine learning, optimization and advanced analytics

Nice to Have

  • Experience with big data using technologies like Hadoop, Hive, and Spark
  • Previous experience in advertising tech (e.g. market response modeling, forecasting, attribution, targeting, 3rd party data integration, etc.)
  • Great communication skills, organized, able to multitask, and be a great teammate
  • Ability to balance attention to detail with swift execution
  • Hunger and drive to learn complex topics

Skills

Python * SQL * Machine Learning * Spark * Causal Inference * Hadoop * HIVE * Statistical modeling *

* Required skills

Benefits

Equity award
Various benefits

About Uber

Uber's Global Scaled Solutions (Uber AI Solutions) powers operations and technologies including data annotation, generation, and evaluations for AI/ML, app testing, localization, and map editing, leveraging advanced technology with human intelligence.

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