Sr. Data Scientist

Overview

Senior Data Scientist on the Corporate Engineering data analytics team, working within advanced engineering groups to develop and execute the data analytics strategy and apply it to Oshkosh products.

What you'll do

• Perform data science or analytics assignments, investigations, and visualization tasks, delivering results to Oshkosh and general industry engineering standards.
• Support Sr. data analysts and scientists in preparing analytics work, plans, designs, data processing, visualization, and reporting.
• Work on projects of high complexity under close supervision, in collaboration with data science, data engineering, software, other engineering groups, business support disciplines, and external component suppliers.
• Collaborate to establish and execute the data analytics strategy for telematics, cloud hosting, data file systems and preprocessing, and engineering applications.
• Work on advanced diagnostics and prognostics and support validation and verification of the intelligent preventive maintenance strategy using statistics and machine learning.
• Conduct independent research on new cloud-based data analytics technologies and establish requirements, roadmaps, and project milestones under supervisor guidance.
• Conduct data processing and analytics on Hadoop Distributed File Systems (HDFS) for different vehicle platforms based on internal or external customer requests.
• Manipulate high-volume, high-dimensionality data from cloud or on-premises sources to highlight patterns, anomalies, relationships, and trends using machine learning techniques and modeling tools such as JMP, SAS, Anaconda, or Dataiku.
• Support or lead development of intelligent control of on or off-road vehicles and machinery using data analytics techniques.
• Assist or direct feasibility studies and project estimates (manpower, budget, timelines) for proposed R&D projects.
• Support or direct proposal development to acquire funding from government agencies for advanced data analytics and control systems programs.
• Provide insight to service or engineering design teams to support maintenance enhancement and product design improvement.
• Perform other duties as assigned.

What you'll need

• Accredited Bachelor's degree in computer science, data science, or a related field with five (5) or more years of related experience.

Nice to have

• Bachelor's degree in computer science, data science, or a related field and 8-plus years related experience, or Master's degree in data science and five (5) or more years of related experience, or Ph.D. degree in data science with 2 years of related experience.
• Work experience in statistics, artificial intelligence, data analytics, or machine learning.
• Work knowledge of telematics interfaces, data file systems (Hadoop), and data processing techniques (Kafka, Impala, or MapReduce, etc.).
• Work knowledge of databases (SQL or NoSQL), data modeling, and data virtualization tools in Python, R, or Java/C/C++.

Details

• Location: Remote, Michigan, United States.
• Routine shift hours; infrequent overtime, weekend, or shift rotation.
• Regular attendance is required.
• Some certain positions require access to controlled goods and technologies subject to ITAR or EAR, which may require applicants to be U.S. Persons.