Sr. Data Scientist
About The Position
The Sr. Data Scientist is a key member of the Corporate Engineering data analytics team. The role works within advanced engineering groups and cross-functional teams to develop and execute data analytics strategies and apply them to Oshkosh products. The work includes acquiring, processing, and applying machine learning to engineering or service data for preventive maintenance and intelligent control of on- and off-road vehicles. The position performs analytics assignments, investigations, and visualization; supports or leads work on advanced diagnostics, prognostics, and intelligent vehicle control; and processes high-volume, high-dimensional data from varying sources. It collaborates with data science, data engineering, software, engineering, business support teams, and external component suppliers. The role also researches cloud-based analytics technologies, develops project requirements and roadmaps under supervisor guidance, and supports feasibility studies, estimates, funding proposals, and improvements to service and engineering designs. The job requires an accredited bachelor's degree in computer science, data science, or a related field, with at least five years of related experience. The listed pay range is $91,500 to $148,100. The position has routine shift hours, with infrequent overtime, weekend work, or shift rotation.
Requirements
- Accredited bachelor's degree in computer science, data science, or a related field.
- Five or more years of related experience.
- Experience with statistics, artificial intelligence, data analytics, or machine learning.
- Working knowledge of telematics interfaces, Hadoop data file systems, and data processing techniques such as Kafka, Impala, or MapReduce.
- Knowledge of SQL or NoSQL databases, data modeling, and data virtualization tools.
- Knowledge of Python, R, or Java/C/C++.
- Ability to meet the role's communication, analysis, problem-solving, and judgment requirements.
Nice To Haves
- Bachelor's degree in computer science, data science, or a related field with eight or more years of related experience.
- Master's degree in data science with five or more years of related experience.
- Ph.D. in data science with two years of related experience.
- Experience with analytics modeling tools such as JMP, SAS, Anaconda, or Dataiku.
Responsibilities
- Perform data science or analytics assignments, investigations, and visualization tasks.
- Deliver results according to Oshkosh and general industry engineering standards and processes.
- Support data analysts or scientists in preparing analytics work, plans, designs, data processing and visualization, and reporting.
- Work on complex projects under close supervision.
- Collaborate with data science, data engineering, software, internal engineering and business support groups, and external component suppliers.
- Help establish and execute the data analytics strategy for telematics, cloud hosting, data file systems, preprocessing, and engineering applications.
- Work on advanced diagnostics and prognostics, and support validation and verification of intelligent preventive maintenance strategies using statistics and machine learning.
- Research cloud-based data analytics technologies and, under supervisor guidance, establish project requirements, resources, equipment, estimates, test plans, milestones, and roadmaps.
- Process and analyze data on Hadoop Distributed File Systems (HDFS) for vehicle platforms in response to internal or external customer requests.
- Manipulate high-volume, high-dimensional data from varied cloud or on-premises sources to identify patterns, anomalies, relationships, and trends using machine learning and modeling tools.
- Support or lead development of intelligent control for on- or off-road vehicles or machinery using data analytics.
- Assist with or direct feasibility studies and project estimates, including staffing, budgets, and timelines, for proposed research and development projects.
- Support or direct proposal development to obtain government-agency funding for advanced data analytics and control-systems programs.
- Provide insights to service or engineering design teams and support maintenance enhancements and product design improvements.
- Perform other duties as assigned.
- Maintain regular attendance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
