At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.The Sr. Data Scientist is a key member in data analytics team for Corporate Engineering. The candidate will work within advanced engineering groups and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh products. Data analytics work encompasses the acquisition, processing and machine learning of engineering or service data and application to preventive maintenance and intelligent control of on or off-road vehicles.YOUR IMPACT:  <ul><li>Perform data science or analytics assignments, investigations, and visualization tasks. </li><li>Deliver results according to Oshkosh and general industry engineering standards and processes.</li><li>Support (Sr.) data analyst/scientist in the preparation of analytics work, plans, designs, data processing and visualization, and/or reporting.</li><li>Under close supervision, work on projects of high level of complexity.                                                    </li><li>Work in collaboration with data science team, data engineering, software, and other internal engineering groups or business support disciplines as well as external component suppliers.</li><li>Collaborate with other team members in Oshkosh to establish and execute the data analytics strategy regarding telematics, cloud hosting, data file system and preprocessing and engineering applications.</li><li>Work on the technical aspects of advanced diagnostics and prognostics and support the validation and verification of the intelligent preventive maintenance strategy using statistics and machine learning techniques.        </li><li>Conduct independent research on new technologies in cloud-based data analytics and establish requirements (resources, equipment, estimates, test plans, and milestones) and roadmap according to the needs of a project under the guidance of the supervisor.                         </li><li>Conduct data processing and data analytics on Hadoop Distributed File Systems (HDFS) for different vehicle platforms based on internal or external customer requests.</li><li>Responsible for manipulating high-volume, high-dimensionality data in cloud or on-premises from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques using modeling tools (such as JMP, SAS, or Anaconda, Dataiku or alike).     </li><li>Support or lead the development of intelligent control of on or off-road vehicle or machineries using data analytics techniques.</li><li>Assist or direct feasibility studies and project estimates (manpower, budget development, and timelines, etc.) on proposed research and development projects.                  </li><li>Support or direct proposal development with regards to acquiring appropriate funding for various advanced data analytics and control systems program from government agencies.</li><li>Provide insight to service or engineering design teams and support maintenance enhancement and product design improvement.</li><li>Other duties as assigned.</li><li>Regular attendance is required.</li></ul>MINIMUM QUALIFICATIONS:  <ul><li>Accredited Bachelor's degree in computer science, data science or related field with five (5) or more years of related experience.</li></ul>STANDOUT QUALIFICATIONS: <ul><li>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.</li><li>Work experiences on statistics, artificial intelligence, data analytics or machine learning.</li><li>Work knowledge of telematics interfaces, data file systems (Hadoop) and data processing techniques (Kafka, Impala, or Map Reduce, etc.), database (SQL or NoSQL), data modeling and data virtualization tools in Python, R or Java/C/C++.</li></ul>CORE COMPETENCIES:<ul><li>Internal Contacts: Contact with peers and others involving explanation of information (these contacts may be within or outside department or division), and the gathering of factual information; may include the communication of sensitive or confidential information.</li><li>External Contacts:  Limited external contact to gather information, answer queries, or ask assistance.</li><li>Communication Skills:  Read, write and comprehend simple instructions, short correspondence and memos; Read and interpret safety rules, operating/maintenance instructions and procedure manuals; Write routine reports, correspondence and speak effectively before both internal and external groups; Read, analyze and interpret business manuals, technical procedures and/or government regulations: Read, analyze and interpret scientific and technical journals, financial reports and legal documents.</li><li>Decision-Making:  Regularly makes significant decisions and final results, typically affecting the entire department. Available guides or precedents are limited. Has authority over the allocation of resources.</li><li>Complexity, Judgment and Problem Solving:  Work requires the ability to plan and perform work in light of new or constantly changing problems, work from broad instruction, and deal with complex factors not easily evaluated.  Decisions require considerable judgment, initiative and ingenuity in areas there is little precedent.</li><li>Supervisory/Managerial:  General instructing, scheduling, and reviewing the work of others performing the same or directly related work. Acts as “lead worker”.</li></ul>WORKING CONDITIONS: <ul><li>Physical Demands: Frequent: Standing, Walking/Running, Sitting, Reaching, Hearing, Talking, Visual, Typing; Occasional: Driving, Fine Dexterity, Manual Dexterity; Upper Extremity Repetitive Motion; Seldom: Lifting/Carrying 25lbs., Pushing/Pulling 25llbs.</li><li>Non-Physical Demands: Frequent: Analysis/Reasoning, Communication/Interpretation, Math/Mental Computation, Reading, Sustained Mental Activity (i.e. auditing, problem solving, grant writing, composing reports), Writing.</li><li>Environmental Demands: Frequent: Work Alone, Frequent Task Changes, Tedious/Exacting Work; Occasional: High Volume Public Contact.</li><li>Work Schedule:  Routine shift hours. Infrequent overtime, weekend, or shift rotation.</li><li>Demands/Deadlines: High volume and variable work demands and deadlines impose strain on routine basis or considerable stress intermittently; OR regular direct contacts with distressed individuals within the immediate work environment; and/or exposure to demands and pressures from persons other than immediate supervisor.</li></ul>#LI-VRPay Range: $91,500.00 - $148,100.00<div><div><div><div><div><div><div>The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.</div></div></div></div></div></div></div>Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Moving the world forward Oshkosh is an industrial technology company of approximately 17,000 team members, that designs and manufactures some of the world&rsquo;s toughest specialty and access equipment under the brands of JLG&reg;, Hinowa, Pierce&reg;, Power Towers, MAXIMETAL, Oshkosh&reg; Defense, McNeilus&reg;, IMT&reg;, Jerr-Dan&reg;, Frontline&trade; Communications, Oshkosh&reg; Airport Products, Oshkosh&reg; AeroTech and Pratt Miller. We make a difference in people&rsquo;s lives by creating mission-critical equipment that serves the everyday hero. Our innovation is people focused and developed by sharing advances across our portfolio of companies. For us, it&rsquo;s about moving the world forward through building, serving and protecting communities. Our purpose: Make a difference in people&rsquo;s lives.

Sr. Data Scientist

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.The Sr. Data Scientist is a key member in data analytics team for Corporate Engineering. The candidate will work within advanced engineering groups and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh products. Data analytics work encompasses the acquisition, processing and machine learning of engineering or service data and application to preventive maintenance and intelligent control of on or off-road vehicles.YOUR IMPACT:  <ul><li>Perform data science or analytics assignments, investigations, and visualization tasks. </li><li>Deliver results according to Oshkosh and general industry engineering standards and processes.</li><li>Support (Sr.) data analyst/scientist in the preparation of analytics work, plans, designs, data processing and visualization, and/or reporting.</li><li>Under close supervision, work on projects of high level of complexity.                                                    </li><li>Work in collaboration with data science team, data engineering, software, and other internal engineering groups or business support disciplines as well as external component suppliers.</li><li>Collaborate with other team members in Oshkosh to establish and execute the data analytics strategy regarding telematics, cloud hosting, data file system and preprocessing and engineering applications.</li><li>Work on the technical aspects of advanced diagnostics and prognostics and support the validation and verification of the intelligent preventive maintenance strategy using statistics and machine learning techniques.        </li><li>Conduct independent research on new technologies in cloud-based data analytics and establish requirements (resources, equipment, estimates, test plans, and milestones) and roadmap according to the needs of a project under the guidance of the supervisor.                         </li><li>Conduct data processing and data analytics on Hadoop Distributed File Systems (HDFS) for different vehicle platforms based on internal or external customer requests.</li><li>Responsible for manipulating high-volume, high-dimensionality data in cloud or on-premises from varying sources to highlight patterns, anomalies, relationships and trends with machine learning techniques using modeling tools (such as JMP, SAS, or Anaconda, Dataiku or alike).     </li><li>Support or lead the development of intelligent control of on or off-road vehicle or machineries using data analytics techniques.</li><li>Assist or direct feasibility studies and project estimates (manpower, budget development, and timelines, etc.) on proposed research and development projects.                  </li><li>Support or direct proposal development with regards to acquiring appropriate funding for various advanced data analytics and control systems program from government agencies.</li><li>Provide insight to service or engineering design teams and support maintenance enhancement and product design improvement.</li><li>Other duties as assigned.</li><li>Regular attendance is required.</li></ul>MINIMUM QUALIFICATIONS:  <ul><li>Accredited Bachelor's degree in computer science, data science or related field with five (5) or more years of related experience.</li></ul>STANDOUT QUALIFICATIONS: <ul><li>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.</li><li>Work experiences on statistics, artificial intelligence, data analytics or machine learning.</li><li>Work knowledge of telematics interfaces, data file systems (Hadoop) and data processing techniques (Kafka, Impala, or Map Reduce, etc.), database (SQL or NoSQL), data modeling and data virtualization tools in Python, R or Java/C/C++.</li></ul>CORE COMPETENCIES:<ul><li>Internal Contacts: Contact with peers and others involving explanation of information (these contacts may be within or outside department or division), and the gathering of factual information; may include the communication of sensitive or confidential information.</li><li>External Contacts:  Limited external contact to gather information, answer queries, or ask assistance.</li><li>Communication Skills:  Read, write and comprehend simple instructions, short correspondence and memos; Read and interpret safety rules, operating/maintenance instructions and procedure manuals; Write routine reports, correspondence and speak effectively before both internal and external groups; Read, analyze and interpret business manuals, technical procedures and/or government regulations: Read, analyze and interpret scientific and technical journals, financial reports and legal documents.</li><li>Decision-Making:  Regularly makes significant decisions and final results, typically affecting the entire department. Available guides or precedents are limited. Has authority over the allocation of resources.</li><li>Complexity, Judgment and Problem Solving:  Work requires the ability to plan and perform work in light of new or constantly changing problems, work from broad instruction, and deal with complex factors not easily evaluated.  Decisions require considerable judgment, initiative and ingenuity in areas there is little precedent.</li><li>Supervisory/Managerial:  General instructing, scheduling, and reviewing the work of others performing the same or directly related work. Acts as “lead worker”.</li></ul>WORKING CONDITIONS: <ul><li>Physical Demands: Frequent: Standing, Walking/Running, Sitting, Reaching, Hearing, Talking, Visual, Typing; Occasional: Driving, Fine Dexterity, Manual Dexterity; Upper Extremity Repetitive Motion; Seldom: Lifting/Carrying 25lbs., Pushing/Pulling 25llbs.</li><li>Non-Physical Demands: Frequent: Analysis/Reasoning, Communication/Interpretation, Math/Mental Computation, Reading, Sustained Mental Activity (i.e. auditing, problem solving, grant writing, composing reports), Writing.</li><li>Environmental Demands: Frequent: Work Alone, Frequent Task Changes, Tedious/Exacting Work; Occasional: High Volume Public Contact.</li><li>Work Schedule:  Routine shift hours. Infrequent overtime, weekend, or shift rotation.</li><li>Demands/Deadlines: High volume and variable work demands and deadlines impose strain on routine basis or considerable stress intermittently; OR regular direct contacts with distressed individuals within the immediate work environment; and/or exposure to demands and pressures from persons other than immediate supervisor.</li></ul>#LI-VRPay Range: $91,500.00 - $148,100.00<div><div><div><div><div><div><div>The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.</div></div></div></div></div></div></div>Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Sr. Data Scientist

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About the Company

Oshkosh Corporation

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