Data Science Engineer Intern

About JLG, an Oshkosh company

JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.

We’re currently recruiting for a data driven and motivated Data Science Intern to join our team. This is a practical, hands-on experience on a fast paced, energetic, high visibility team. As a part of the Data Science team, you will work in a cross-functional environment with engineers and product managers to develop and execute our data analytics strategy and apply it to JLG products. The work encompasses the acquisition, transformation, and modeling of engineering, business, customer, telematics, and service data to improve our machines and add business value.  

Responsibilities

• Execute analytic activities, including data gathering, cleansing and preparation, statistical transformation and modeling, feature engineering and selection.
• Collaborate with senior team members to manipulate high-volume, high-dimensionality data from various sources to highlight patterns, anomalies, relationships, and trends with machine learning techniques using modeling tools (such as Anaconda Python or alike).
• Work with senior team members and internal customers to establish requirements (resources, equipment, estimates, test plans, and milestones) and roadmap according to the needs of a project.
• Utilize Power BI to analyze, validate, and aesthetically visualize data.

Minimum Qualifications

• Must be a current undergraduate or master’s student working towards a degree in in Data Science, Computer Sciences, Statistics, or related field.
• Cumulative GPA of 3.0 or higher
• Familiar with stages of analytics lifecycle include data extraction, validation, and cleansing.
• Experience with Power BI or similar data visualization tools
• Familiarity with SQL, Python, and programming concepts.
• Basic understanding of Machine Learning concepts and tools
• Proven proficiency in Microsoft Excel and PowerPoint
• Strong communication skills
• Self-motivated and able to work with minimal supervision.

Pay Range:

$18.00 - $37.00

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.

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 an Equal Opportunity and Affirmative Action Employer. This company will provide equal opportunity to all individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Information collected regarding categories as provided by law 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.