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Posted: Tuesday, May 2, 2017 1:36 PM

Job Description:/h3:
Data Scientist for Connected Car and Mobility Services in Sunnyvale, CA
Company Introduction
The innovative cars of tomorrow will deliver incredible performance, innovative mobility services, and protect the environment. Advances in autonomous vehicles and connected cars are poised to transform the entire mobility and transportation eco:system.
Nissan, in alliance with Renault has created a new 300 person division, the Alliance Connected and Mobility Services (ACMS) Division, for the purpose of releasing at least 10 vehicles with significant autonomous driving capabilities by 2020. Nissan and Renaults new ACMS Division will focus on the development of software, cloud engineering, and big data analytics for connected:car technologies. The ACMS division spans three continents; Europe, North America, and Asia.
ACMS is divided into divisions covering Connected / Mobility Services, Connected Car Platform / Architecture, Connected Car Engineering, and Data Analytics.
The ACMS Data Analytics group in Silicon Valley was recently established and will focus on utilizing data analytics and connected car data to: (1) enable predictive analytics for connected vehicle health, (2) enable / optimize new data based connected car / mobility services, (3) optimize business units related to digital marketing, after:sales, and finance.
Job Description
We are looking for a Data Scientist for the ACMS Data Analytics group in Silicon Valley who will help us discover insights hidden in vast amounts of data from a variety of sources such as telematics (i.e. connected cars), social media, app usage data, and marketing and sales data to make smarter decisions to improve vehicle quality, deliver new connected car / mobility services, and derive new opportunities in departments such as marketing, after sales, and finance. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated into our back end to support new and existing services. In addition, text analytics and experience in graph analytics is desired for deriving insights from text based data.
Selecting features, building and optimizing classifiers using machine learning techniques to enhance predictive analytics
Data mining using state:of:the:art methods
Extending companys data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad:hoc analysis and presenting results in a clear manner
Skills and Qualifications
Excellent understanding of machine learning techniques and algorithms, such as k:NN, Naive Bayes, SVM, Decision Forests, etc.
Experience with common data science toolkits, such as R, NumPy, Spark, Excellence in at least one of these is highly desirable
Great communication skills
Experience with data visualization tools, such as Tableau, etc..
Proficiency in using query languages such as SQL or equivalent
Experience with NoSQL databases, such as MongoDB or equivalent
Good applied statistics skills, such as distributions, statistical testing, regression, Bayesian, Markov chains, etc.
Good scripting and programming skills in Python or equivalent
Data:oriented personality
MS or PhD degree in Statistics, Operations Research, EE, CS or equivalent / related area
2+ years of experience in data analytics

Company Description:/h3:
Renault:Nissan Alliance is a strategic partnership between Paris:based Renault and Yokohama, Japan:based Nissan, which together sell one in 10 cars worldwide. Renault and Nissan have sold about 300,000 zero:emission vehicles, by far the global leaders for pure electric cars. The Alliance has strategic collaborations with GermanyA 128; s Daimler, JapanA 128; s Mitsubishi, Chin


• Location: Los Angeles

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