Job description

Requirements

  • Entry level
  • No Education
  • Salary to negotiate
  • Kawasaki

Description

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Mitsubishi Fuso Truck and Bus Corporation (MFTBC) is an integral part of Daimler Trucks, the world’s largest truck manufacturer. With our FUSO brand, we make up approximately 40% of the Daimler Trucks sales volume with a presence in more than 160 markets worldwide. Since our first bus, we have aspired to bring society and our customers the highest quality of products and services.

By Combining Japanese tradition and the global power of Daimler, Mitsubishi Fuso provides unparalleled experience in a world leading company. This means that you will associate with global business partners every single day.

 

Information about the department

 

 
The candidate will be part of the Big Data team for Daimler Trucks Asia, under the IT branch. This is a team that identifies and develops advanced analytics models and solutions for   business partners to improve various business outcome and indicators. In the Data Scientist role, the candidate will be challenged to create innovative technology solutions at the intersection of language analysis, data-driven insights and logic-based workflow.  The Data Scientist's core responsibilities will involve building tools that drive the systems underlying the firm’s research process, including advancing the firm’s text mining and machine learning platform.  The position reports to Daimler Trucks Asia’s head of big data analytics and will work closely with the Big Data teams in Germany, Silicon Valley, & India. The candidate will have an opportunity to build a team around him/her with managerial growth path in sight if he/she wishes to pursue it. Current areas of work / use cases vary from predictive maintenance to autonomous driving, finance, procurement, customer services, HR, R&D, pricing and warranty analytics. The position offers a high rate of learning on a diverse range of projects and the opportunity to quickly have direct impact upon the organization. The ideal candidate is a clever and versatile coder with a decent understanding of cloud platforms to tackle complex problems.  The Data Scientist must be comfortable working in an agile development environment with high expectations for rapid delivery of prototypes, changing requirements, and direct feedback from the internal business units.  
 

Your Roles and Tasks

  



Develop appropriate analytics techniques to develop appropriate analytic solutions for unstructured data from different source


Develop appropriate methodology for analyzing and interpreting results from product features A/B testing 


Research Software Engineers are expected to build and develop systems which demonstrate and make accessible the underlying research technology to solve the real time ML problems


Responsibilities of a Research Software Engineer include participating in basic and applied research on a wide array of analytics and machine learning projects. 


Identify new research opportunities, and develop innovative technology solutions to the research problems.


Leverage creativity and adaptability to better anticipate competition moves, quickly respond to market changes and support ever-evolving customer needs

 

Basic & Must Have Qualifications :



 Ability to code in Python or R


 A solid foundation in data structures, algorithms and software design


 Extensive experience in machine learning algorithms, text classification, information extraction and Noun, name and other  Entity Resolution and other concepts of natural language processing.


Research background, and or solid understanding of concepts such as decision tree induction, K-mean clustering, regressions, random forests etc


Is Self-Driven and prefers working in an agile manner.


Demonstrated ability to take bold initiatives and the ability to solve hard problems, prioritize work and make decisions


Overall years of experience:  5+ years


Candidates should hold an Msci or PhD in Computer Science, Mathematics, Applied Statistics, or related disciplines with an excellent academic record




Must have hands on experience in handling text data, unstructured and structured data using ML concepts for handling the text and support knowledge component of input text


4 years Machine Learning Algorithm development


Extensive experience solving business problems using analytics approaches 


Comfort with extracting,

About the company

Daimler AG is one of the world’s most successful automotive companies. With its divisions Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Financial Services, the Daimler Group is one of the biggest producers of premium cars and the world’s biggest manufacturer of commercial vehicles with a global reach. Daimler Financial Services provides financing, leasing, fleet management, insurance, financial investments, credit cards, and innovative mobility services.

The company’s founders, Gottlieb Daimler and Carl Benz, made history with the invention of the automobile in the year 1886. As a pioneer of automotive engineering, Daimler continues to shape the future of mobility today: The Group’s focus is on innovative and green technologies as well as on safe and superior automobiles that appeal to and fascinate. Daimler consequently invests in the development of alternative drive trains with the long-term goal of emission-free driving: from hybrid vehicles to electric vehicles powered by battery or fuel cell. Furthermore, the company follows a consistent path towards accident-free driving and intelligent connectivity all the way to autonomous driving. This is just one example of how Daimler willingly accepts the challenge of meeting its responsibility towards society and the environment.

The brand portfolio of Daimler comprises Mercedes-Benz, Mercedes-AMG, Mercedes-Maybach, Mercedes me, smart, EQ, Freightliner, Western Star, BharatBenz, Fuso, Setra, Thomas Built Buses as well as Mercedes-Benz Bank, Mercedes-Benz Financial Services, Daimler Truck Financial, moovel, car2go and mytaxi.

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