ITC/A - Specialist/Data Scientist_Mitsubishi Fuso, Kawasaki

Important notification: If you have any issues in applying via system, please kindly send your CV to the contact person.
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, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

- Hands-on experience coding in Python or other advanced programming languages is required for this role, as is experience working with large datasets using SQL.  Experience with Java, R, PHP, Perl is an advantage. 

- Strong passion for data driven research for answering hard questions with data 

- Flexible analytic approach that allows for results at varying levels of precision

- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner 

- Expert knowledge of R or python is a must

- Experience working with large data sets, familiarity/experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)

- Ability to work in fast paced environment

Practical knowledge and experiences
- 5+ years experience working as a data scientists

- Hands-on experience coding in Python or other advanced programming languages is required for this role, as is experience working with large datasets using SQL. Experience with Java, R, PHP, Perl is an advantage. 


- Should hold an Msci or PhD in Computer Science, Mathematics, Applied Statistics, or related disciplines

 
Personal skill requirement
- Self-Driven and prefers working in an agile manner.

- Ability to take bold initiatives and the ability to solve hard problems, prioritize work and take decisions.

- Excellent communication skills to explain and work with relevant business partners.  

Language skills
- Japanese level: Business (Good to have)

- English level: Business (Mandatory)

  Additional information
- International travel (Short term) maybe required depending on project 

 

Usage of Cookies

Daimler uses cookies for optimal visualization and ongoing improvement of the website. By using this website you agree to the usage of cookies.