Uber Careers – Senior Data Scientist – Elevate Date Posted 16th Oct 2020


Uber Careers – Senior Data Scientist – Elevate. Those Candidate Are Interested to the Following Recruitment and Completed the All Eligibility Criteria Can Read the Full Details Before Apply Online.

Company Name: Uber

Job Position: Senior Data Scientist

Job Location: San Francisco, California

Job Description:

About the Role: The Elevate team is weaving the everyday flight into the Uber platform. We are developing Uber Air to enable aerial ridesharing at scale via eVTOLs – all-electric, vertical takeoff and landing vehicles, with a planned launch in 2023. The full-stack engineer will focus on developing tools for operating Uber Elevate’s aerial ridesharing services at scale.

What you’ll do:

  • Develop a deep understanding of aerial ridesharing operations and airspace automation for Urban Air Mobility (UAM).
  • Provide analysis using optimization and machine learning models to improve business processes and decisions.
  • Understand the capabilities and limitations of existing algorithms and models and evolve them to satisfy future product requirements.
  • Work in a multi-functional team (engineers, designers, product) to deliver on critical business goals for Elevate.
  • Validation and verification of model characterization and sensitivities.
  • Provide technical guidance and mentorship in data processing and architecture, optimization, prediction, and experimentation methods and models.
  • Design and analysis of product experiments to draw detailed and impactful conclusions
  • Partner closely with engineering, operations, business, and infrastructure groups and communicate findings clearly to technical and non-technical partners
  • Build and validate prototypes to demonstrate the benefits from proposed changes to decision systems and operational processes.

Eligibility Criteria:

Basic Qualifications:

  • Ph.D., MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative field. (If M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor’s degree, a minimum of 5+ years of proven experience required)
  • Knowledge of underlying mathematical foundations of statistics, machine learning, economics, and analytics.
  • Experience formulating linear, convex, and nonlinear optimization problems.
  • Experience with exploratory data analysis, statistical analysis and testing, and model development
  • Strong experience using Python or R and SQL/Spark and to work efficiently at scale with large data sets.
  • Experience in building and evaluating algorithms and optimizing for performance in production.

Skills Required:

Preferred Qualifications:

  • Customer obsession and the ability to collaborate with product managers and designers to balance quality, speed, and scalability.
  • Experience working with large data sets involving geospatial data
  • Ability to deliver on tight timelines and move quickly while maintaining attention to detail
  • Experience with big data using technologies like Hadoop, Hive, and Spark a plus.
  • Experience using persistent and non-persistent storage systems and caching systems.
  • You enjoy reading academic papers and implementing experimental systems
  • You have experience speaking publicly at industry recognized ML conferences as well as being published in the field
  • Ability to build quick visualizations from experimentation results and present them to the stakeholders
  • Proven Software engineering proficiencies in production applications.
  • Sophisticated knowledge of experimental design and analysis
  • Experience in Aviation
  • Not Mentioned
Apply Here: Click Here



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