Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Uber Staff Scientist- Uber Eats Search 
United States, West Virginia 
497220496

18.07.2024

What you will do

  • Conduct thorough analyses of large datasets to identify trends, patterns, and opportunities for improving search performance.
  • Design, implement, and optimize search algorithms to enhance the relevance and accuracy of search results.
  • Generate actionable insights from data and communicate findings to stakeholders across the organization.
  • Design experiments and interpret the results to draw detailed and impactful conclusions.
  • Work closely with product managers, engineers, and other scientists to define project goals and deliver data-driven solutions.
  • Stay current with the latest advancements in data science, machine learning, and search technologies.
  • Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.

Basic Qualifications

  • M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
  • 7+ years of industry experience as an Applied or Data Scientist or equivalent.
  • Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),
  • Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.
  • Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
  • Experience in developing causal inference methodologies and experimental design (e.g., A/B and market-level experiments)
  • Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.

Preferred Qualifications

  • Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
  • Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods.
  • Experience in building consumer-facing products in a technology company.
  • Building Machine Learning and Deep Learning models.
  • Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
  • Experience guiding and mentoring other Scientists.
  • Experience synthesizing data analyses into clear insights to influence product direction.

For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.