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.

JLG Data & Analytics Overview:

With data deeply embedded in our DNA, JLG Analytics transforms data into consumer delight. We build and organize business-ready data that allows JLG’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.

The Advanced Analytics domain will be the organization where Data Scientist and AI/ML Engineers report to in the broader DT organization. Also, AA will lead, facilitate and collaborate on the larger Advanced Analytics community at JLG and will support “pre-engagement” activities as requested and validated by the prioritization framework within DT.

Position Overview:

Your role will be to be part of growing team based in Hagerstown, MD, to create and support global digital developments for JLG. These developments will be around topics like revenue management, supply chain, manufacturing, logistics.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the areas that you are a specialist or you are specializing.

Responsibilities

• Active contributor to code development in projects and services.
• Act as contributor in innovation activities.
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Build complex datasets for Model Consumption from multiple data elements. Support building data ingestion pipelines for optimal efficiency.
• Partner with ML engineers and data scientists regarding data pipelines and data versioning and create scalable model ready data.
• Partner with Data Scientists & ML engineers working on model industrialization
• Build, deploy or publish model ready data for machine learning models to run efficiently in cloud pipelines.
• Help drive optimization, testing, and tooling to improve quality (unit tests).
• Support large-scale experimentation done by data scientists.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Support the creation of reusable packages or libraries.

Qualifications

• 2+ years working in a team to deliver production level analytic solution
• 2+ years’ experience in ETL and/or data wrangling techniques
• 2+ Experience in Databricks and Spark, including Databricks integration with ML models
• 1+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development
• 1+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus
• Experience with working with relational databases and SQL is a plus
• Experience working with external data sources, including IHS
• Experience building solutions in the Commercial, Net revenue Management or Supply chain space is a plus
• Experience with Agile methodology for teamwork and analytics ‘product’ creation is a plus
• Experience with Git (version control)
• Experience with Azure Dev Ops
• Experience with Azure cloud services. Certification is a plus
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities

Competencies:

• Creative and collaborative mindsets
• Translates complex technical solutions into business understanding
• Creates solutions with the ability to continually prove accuracy and with a design goal of productization/ reusability

Oshkosh is committed to working with and offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability for any part of the recruitment process, please contact our reception desk by phone at +1 (920) 502.3009 or our talent acquisition team by email [email protected].

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.