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Data Scientist - Bosch

Bosch USA

Palo Alto, California
  • Data Analytics
  • Data Scientist
  • Statistician
  • Business Intelligence
Bosch USA
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Job Details

Company Description

The Bosch Center for Artificial Intelligence provides services in AI technologies to Bosch’s business units and plants. The center works in collaboration with a large team of researchers, engineers, and software service providers. Our data mining methods and solutions are implemented in a modern distributed architecture in order to scale up to very large data sets.

Artificial intelligence technologies are impacting Bosch’s products and services in many domains: manufacturing, predictive maintenance, vehicle diagnostics, supply chain, large-scale simulations, etc. This is a technical position for someone who is skilled at bringing together disparate technologies to solve business problems.


Job Description

Primary Responsibilities:

  • Execute complex data science / data engineering projects that have a significant impact on Bosch global business.
  • Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.
  • Collaborate with product, engineering, and marketing teams across many Bosch business domains (automotive, industrial, internet of things) to translate business needs into technical solutions
  • Select and apply appropriate statistical, machine learning, and computing methods to large-scale, high-dimensional data
  • Develop analytic methods for decision support in various Bosch businesses
  • Stay current with the latest research and technology and communicate your knowledge throughout the enterprise
  • Take responsibility for preparing data for analysis, review data preparation/ETL code and provide critical feedback on issues of data integrity
  • Contribute to Bosch's patent portfolio
  • Up to 10% travel may be required.



Job Requirements:

  • Degree Level: Ph.D. or M.S. with at least 1 year of relevant work experience
  • Major(s): Computer Science, Statistics, or related quantitative technical fields
  • Strong background in statistics, machine learning, and/or big data processing
  • Proven programming experience in at least 1 of the following: Python, Java, Scala, R, C++
  • Demonstrated ability to work both independently and in a team environment
  • Strong analytical and problem solving skills
  • Enthusiastic about learning new tools & technologies
  • Excellent communication skills


  • Experience working with big data tool chains (e.g. Hadoop & Spark ecosystems)
  • Experience with neural networks and deep learning methods


Additional Information

All your information will be kept confidential according to EEO guidelines.

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