Data Scientist, Service Operations
The Role
We are looking for a Data Scientist for the most progressive vehicle brand in the world. As a Data Scientist in Service, you will have the opportunity to apply machine learning techniques with big data to model for service planning needs and to explore opportunities to delight our customers with exceptional support. The level of this position will be determined at the time of the interview.
Responsibilities
Contribute to the development of our data pipelines by implementing novel algorithms for retrieving, analyzing and visualizing data
Extract useful statistics and usage profiles from the existing fleet
Apply statistical analysis on service and vehicle data to drive decision making in the organization
Implement scalable planning tool based on forecasting models for service operations
Create visualization to communicate data in a meaningful and actionable manner
Apply machine learning algorithms to forecast service and repair needs
Requirements
Masters or PhD degree in quantitative discipline:
Statistics, Computer Science, Engineering, Math, Economics, or evidence of exceptional ability in related fields
2 year plus experience in quantitative analysis
Strong passion and curiosity for data and data driven decision making to solve complex business problems
Solid communication skill and acute attention to detail
Proficiency in SQL, R, and Python
Experience with Java, Tableau, Hive, Spark, MongoDB is a plus
Deep knowledge of applied statistics including predictive modeling, Bayesian statistics, Time Series analysis and Machine Learning
Experience and interest in data visualization techniques. Ability to convey complex analyses with the most efficient and intuitive visual methods
Ability in implementing data pipelines is a plus
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
We are looking for a Data Scientist for the most progressive vehicle brand in the world. As a Data Scientist in Service, you will have the opportunity to apply machine learning techniques with big data to model for service planning needs and to explore opportunities to delight our customers with exceptional support. The level of this position will be determined at the time of the interview.
Responsibilities
Contribute to the development of our data pipelines by implementing novel algorithms for retrieving, analyzing and visualizing data
Extract useful statistics and usage profiles from the existing fleet
Apply statistical analysis on service and vehicle data to drive decision making in the organization
Implement scalable planning tool based on forecasting models for service operations
Create visualization to communicate data in a meaningful and actionable manner
Apply machine learning algorithms to forecast service and repair needs
Requirements
Masters or PhD degree in quantitative discipline:
Statistics, Computer Science, Engineering, Math, Economics, or evidence of exceptional ability in related fields
2 year plus experience in quantitative analysis
Strong passion and curiosity for data and data driven decision making to solve complex business problems
Solid communication skill and acute attention to detail
Proficiency in SQL, R, and Python
Experience with Java, Tableau, Hive, Spark, MongoDB is a plus
Deep knowledge of applied statistics including predictive modeling, Bayesian statistics, Time Series analysis and Machine Learning
Experience and interest in data visualization techniques. Ability to convey complex analyses with the most efficient and intuitive visual methods
Ability in implementing data pipelines is a plus
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
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