Senior Data Scientist, Engineering Analytics & ML

Oshkosh Corporation

United States

Remote

USD 92,000 - 148,000

Full time

14 days+

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Job summary

Oshkosh Corporation is seeking a Senior Data Scientist to join Corporate Engineering to develop and execute data analytics strategies for Oshkosh products. You will work with cross-functional teams to apply data analytics and machine learning to preventive maintenance and intelligent control of on- and off-road vehicles.

You will collaborate with data science, data engineering, software, and other engineering groups to advance analytics capabilities, including cloud-based data analytics and

Qualifications

  • Bachelor’s degree in computer science, data science or related field with five (5) or more years of related experience.
  • Experience with statistics, artificial intelligence, data analytics or machine learning.
  • Knowledge of telematics interfaces, data file systems (Hadoop) and data processing techniques (Kafka, Impala, MapReduce), SQL/NoSQL databases, and data modeling in Python, R, or Java/C/C++.

Responsibilities

  • Perform data science or analytics assignments, investigations, and visualization tasks.
  • Deliver results according to Oshkosh and general industry engineering standards and processes.
  • Support (Sr.) data analyst/scientist in preparation of analytics work, plans, designs, data processing and visualization, and/or reporting.
  • Collaborate with cross-functional teams to establish and execute the data analytics strategy for telematics, cloud hosting, and data preprocessing.

Job description

Oshkosh Corporation is seeking a Senior Data Scientist to join Corporate Engineering to develop and execute data analytics strategies for Oshkosh products. You will work with cross-functional teams to apply data analytics and machine learning to preventive maintenance and intelligent control of on- and off-road vehicles.

You will collaborate with data science, data engineering, software, and other engineering groups to advance analytics capabilities, including cloud-based data analytics and

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