Machine Learning Engineer机器学习工程师
Daimler北京市Update time: September 23,2019
Job Description
Machine Learning Engineer机器学习工程师
Description
Objective of job
- 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 Engineers and Data Scientists to support with the collection and analysis of data from Mercedes-Benz Vehicles.
- As a Data Scientist on the team, you'll be working on projects that will directly influence corporate strategy and future product development. Versatility, adaptability, and an inquisitive approach to problem solving make for an ideal candidate. In this role, you’ll be on the front-lines of an interdisciplinary team of engineers and data scientists and together, you will use data to shape the future of Mercedes-Benz.
Task description
- 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
Qualifications
Qualification
- BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other relevant technical field. Advanced degrees preferred.
- Demonstrable programming experience with at least two of the following languages: Python, Java, Scala, R, Ruby, MATLAB, SQL
- Solid knowledge and experience with a scientific computing platform (e.g. scikit learn, Weka, MATLAB)
- 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. SVM, regression, classification, clustering, time series, deep learning)
- Hands-on experience with visualization tools (e.g. D3.js, Tableau) and an acute ability to prepare and present data in a visually appealing and easy to understand manner
- A strong voice for data integrity and reporting quality utilizing best-practices and industry standards
- Excellent critical thinking, problem solving and analytical skills
- Excellent communication skills, and the ability to work effectively with others
Organization : Daimler Greater China Ltd.
Primary Location : China (Mainland)-Beijing-Beijing
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