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Time Series Data Science Intern

Bosch Group

Time Series Data Science Intern

Sunnyvale, CA
Internship
Paid
  • Responsibilities

    Job Description

    We at the Bosch Center for Artificial Intelligence (BCAI) are developing platforms and products to deploy domain specific descriptive and predictive analytics. We are currently building a large scale automated forecasting platform capable of forecasting over hundreds of thousands of time series at all business levels within Bosch.  This is highly rewarding work with a chance for high impact throughout the Bosch enterprise. In order to successfully expand this platform and continue our vision, we need to create intuitive and test-driven software that generalizes for multiple types of data. This internship position requires a candidate who has a good experience and knowledge in R or python, time series, probabilistic   graphical models (PGMs).

    Primary Responsibilities:

    • Explore relationships between hundreds of related time series.
    • Identify leading causal relationships among them
    • Improve forecasting accuracy
    • Scenario planning using graphs.
  • Qualifications

    Qualifications

    PhD in Computer Science, Mathematics, Statistics or any other related field with prior experience in forecasting, Bayesian inference and research.

    We are specifically looking for candidates with a knowledge in any of the following areas:

    1. Time Series Forecasting.
    2. Fundamental knowledge of PGMs
    3. R / python
    4. Reading and implementing new research
    5. Big Data tools such as Spark is a plus
    6. Practical application of sampling methods eg. MCMC algorithms
    7. Practical applications of optimization methods eg EM, Belief propagation, heuristic methods.

     

    Additional Information

    By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.

    BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives

    • FIRST Robotics (For Inspiration and Recognition of Science and Technology)
    • AWIM (A World in Motion)