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Principal Data Scientist - Mercedes-Benz

Mercedes-Benz Research & Development North America, Inc.


Location:
Sunnyvale, California
Date:
10/12/2017
2017-10-122017-12-11
Categories:
  • Data Analytics
  • Data Scientist
  • Statistician
  • Business Intelligence
Mercedes-Benz Research & Development North America, Inc.
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Job Details

Mercedes-Benz Research & Development is a place for exceptional people with outstanding ideas and the absolute willingness to bring them to life. With several R&D facilities all over the U.S., the Sunnyvale campus is at the heart of Silicon Valley where you will be surrounded by engineers, software developers, and designers pushing technology boundaries to shape the future.

Do you want to train a car to communicate with gestures, eyes or touch? 

Do you want your car to be your companion and know exactly how you’re feeling?

Do you want to be a part of a team that develops the most intelligent digital maps?

Do you want to design the most beautiful and advanced user interface?

We are not just about cars: we are also about the latest and greatest software, cutting-edge technology, and groundbreaking innovation. Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make the car even more intelligent - you create a new reality for cars. We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.

 

Role Overview

With the number of connected Mercedes-Benz vehicles on the road increasing daily, the amount of data being generated and its significance is also increasing rapidly. The Vehicle Infrastructure & Data Analytics team is looking for passionate and versatile Data Scientist to support with generating insights and knowledge out of the vehicle data.

This position will play a key role in the development of vehicle based analytics and data-driven services. As a Principal Data Scientist on the team, you'll be responsible for setting up the data science mission and enabling data scientists to develop data driven use-cases. As part of a larger global interdisciplinary team, you will also make strategic decisions that influence future vehicle development and connected services.

This is a unique opportunity to join an innovative group of engineers creating the next generation big data platform that will be accessed and used by hundreds of people across domains within Mercedes-Benz.

  • Collaborate directly with stakeholders and subject-matter experts to define use-cases and identify relevant data sources
  • Analyze available data and create reports and dashboards to generate internal business intelligence and enable data-driven decision making
  • Where applicable, use data visualizations to help demo and explain insights to key stakeholders and management
  • Develop predictive models and new algorithms that can be used in next-generation vehicle features and services
  • Managing projects risks & creative problem solving
  • Hiring, coaching, goal-setting and professional development of team members

Requirements

Minimum Skills Required

  • Master of Science in Mathematics, Computer Science, Statistics, Analytics or equivalent
  • Proficiency with at least two of the following languages: Python, Java, Scala, R, SQL
  • Solid knowledge and experience with a scientific computing platform (e.g. scikit learn, Weka, MLlib)
  • Hands-on experience working with common DBMS (SQL, NoSQL), as well as distributed application platforms (Hadoop)
  • Strong knowledge of statistical data analysis and machine learning techniques (e.g. Baysian Analysis, regression, classification, clustering, time series, deep learning)
  • A strong voice for data integrity and reporting quality utilizing best-practices and industry standards
  • Excellent critical thinking, problem solving and analytical skills
  • Solid communication skills demonstrated ability to explain complex technical issues to both technical and non-technical audience.
  • Experience mentoring/leading other data scientists.
  • Driver’s License

     

Preferred Qualifications

  • Experienced in automotive, hands-on experience with visualization tools like SPSS or Tableau.

     

MBRDNA is an equal opportunity employer that offers generous benefits and compensation, work/life balance tools and several methods of recognition and rewards. Our benefits include medical, dental and vision insurance, 401K savings plan, tuition and fitness reimbursement programs and much more.

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