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.
JOB SUMMARY:
The Data Scientist responsibilities include conducting all the steps of the data mining lifecycle with an emphasis on applying their expertise in math, statistics and building machine learning models. They will follow the CRISP-DM methodology. Critical thinking and problem-solving skills are essential, along with a passion for research. Their role will include mentoring other members of the Advanced Analytics & Insights team. They will be responsible for preparing and delivering the results of their analysis. The goal will be to help our company utilize data analytics to generate business value.
YOUR IMPACT:
These duties are not meant to be all-inclusive and other duties may be assigned.
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Acquire business understanding and provide guidance and design input for model implementation.
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Identify valuable data sources and automate collection processes.
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Undertake preprocessing of structured and unstructured data.
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Analyze large amounts of information to discover trends and patterns.
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Build machine learning models and operation optimization (e.g., scheduling, routing, sales optimization).
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Propose solutions and strategies for business value generation.
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Collaborate with team members within segments and all functional areas, including sales, operations, supply chain, engineering, product development, finance, HR, etc.
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Be a thought leader and stay up-to-date in the field of applied data science.
MINIMUM QUALIFICATIONS:
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Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or relevant field.
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Proven experience as a Data Scientist with at least five years’ experience working in the field of data science
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Strong math skills (e.g. statistics, algebra) and experience using statistical packages for analyzing datasets (Python, R)
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Knowledge of and experience with data mining, segmentation, machine learning and optimization techniques.
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Strong
analytical skills
with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. -
Knowledge of and experience with data visualization and reporting packages (Cognos Analytics, Power BI, Tableau etc.)
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Knowledge of and experience with Big Data databases (Azure, AWS, Oracle, NoSQL, etc.).
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Aptitude for working in a fast-paced collaborative team environment with proven experience as a self-starter and problem-solver.
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Excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leaders and peers.
STAND OUT QUALIFICATIONS:
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Experience within supply chain in automotive industry
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Blockchain in supply chain management
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Natural Language Processing
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Deep learning
WHY OSHKOSH
PEOPLE FIRST CULTURE
Financial Wellbeing: Competitive Salary and Incentive plans, Health Savings Account, Flexible Spending Account, Paid Time Off, Education Reimbursement, Opportunity to Advance
Benefits: Medical and Prescription, Tobacco/Nicotine Cessation, Dental, Vision, Fertility Program, Preventive Care Incentives, Wellbeing Program, Discount Program on hundreds of brands
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: 920-502-3009 or 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.