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.<div><div>SUMMARY: </div><div>As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems.  WORK LOCATION:This position follows Oshkosh Corporation’s hybrid work model, with three days in-office and two days remote each week.The preferred location for this role is at our Global Headquarters in Oshkosh, WI. However, we are also open to candidates based out of the following U.S. office locations, including:<ul><li>McConnellsburg, PA</li><li>Hagerstown, PA</li><li>Orlando, FL</li></ul>Relocation to Oshkosh, WI will also be considered for the right candidate.</div><div>YOUR IMPACT:   </div><div><ul><li>Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.  </li><li>Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.  </li><li>Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.  </li><li>Collaborate with cross-functional teams (e.g. data analysts, engineers, architects, business stakeholders) to understand data science needs for business requirements of medium complexity. </li><li>Build complex predictive models and machine-learning algorithms. Integrate models into existing systems. </li><li>Perform data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. </li><li>Possesses advanced understanding of data models, database design and management for structured and unstructured data. </li><li>Resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. </li><li>Possesses understanding of business' processes and terminology in at least one area of the business. </li></ul></div></div><div><div> </div><div>MINIMUM QUALIFICATIONS:    </div><div><ul><li>Bachelors degree with four (4) or more years of experience in the field or in a related area. </li></ul></div><div> </div><div>STANDOUT QUALIFICATIONS:   </div><div><ul><li>Masters or doctorate degree </li><li>Familiarity with Power Platforms </li><li>Familiarity with LLM (open source or closed) </li><li>Experience in Front end web app development (Flaskapp, Gradio etc) </li><li>Familiarity with RAG architecture </li></ul></div></div>Pay Range: $101,100.00 - $166,700.00<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.

Data Scientist Sr

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.<div><div>SUMMARY:&nbsp;</div><div>As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. &nbsp;WORK LOCATION:This position follows Oshkosh Corporation’s hybrid work model, with three days in-office and two days remote each week.The preferred location for this role is at our Global Headquarters in Oshkosh, WI. However, we are also open to candidates based out of the following U.S. office locations, including:<ul><li>McConnellsburg, PA</li><li>Hagerstown, PA</li><li>Orlando, FL</li></ul>Relocation to Oshkosh, WI will also be considered for the right candidate.</div><div>YOUR IMPACT:&nbsp;&nbsp;&nbsp;</div><div><ul><li>Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. &nbsp;</li><li>Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. &nbsp;</li><li>Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. &nbsp;</li><li>Collaborate with cross-functional teams (e.g. data analysts, engineers, architects, business stakeholders) to understand data science needs for business requirements of medium complexity.&nbsp;</li><li>Build complex predictive models and machine-learning algorithms. Integrate models into existing systems.&nbsp;</li><li>Perform data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes.&nbsp;</li><li>Possesses advanced understanding of data models, database design and management for structured and unstructured data.&nbsp;</li><li>Resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands.&nbsp;</li><li>Possesses understanding of business' processes and terminology in at least one area of the business.&nbsp;</li></ul></div></div><div><div>&nbsp;</div><div>MINIMUM QUALIFICATIONS:&nbsp;&nbsp;&nbsp;&nbsp;</div><div><ul><li>Bachelors degree with four (4) or more years of experience in the field or in a related area.&nbsp;</li></ul></div><div>&nbsp;</div><div>STANDOUT QUALIFICATIONS:&nbsp;&nbsp;&nbsp;</div><div><ul><li>Masters or doctorate degree&nbsp;</li><li>Familiarity with Power Platforms&nbsp;</li><li>Familiarity with LLM (open source or closed)&nbsp;</li><li>Experience in Front end web app development (Flaskapp, Gradio etc)&nbsp;</li><li>Familiarity with RAG architecture&nbsp;</li></ul></div></div>Pay Range: $101,100.00 - $166,700.00<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.&nbsp;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.

Data Scientist Sr

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Oshkosh Corporation

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