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Oshkosh
Principal Data ScientistOshkosh • Frederick, Maryland, USA
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Principal Data Scientist

Principal Data Scientist

Oshkosh • Frederick, Maryland, USA
11 days ago
Salary
$118,700.00 yearly
Job type
  • Full-time
  • Permanent
Job description

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 productsincluding mobile elevating work platforms telehandlers utility vehicles and accessoriescan 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.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

These duties are not meant to be all-inclusive and other duties may be assigned.

  • Acquire business understanding and provide guidance and design input for model implementation.
  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Build machine learning models and operation optimization (e.g. scheduling routing sales optimization).
  • Propose solutions and strategies for business value generation.
  • Collaborate with team members within segments and all functional areas including sales operations supply chain engineering product development finance HR etc.
  • Be a thought leader and stay up-to-date in the field of applied data science.

MINIMUM QUALIFICATIONS:

  • Masters degree in Mathematics Economics Computer Science Information Management Statistics Engineering or relevant field.
  • Proven experience as a Data Scientist with at least five years experience working in the field of data science
  • Strong math skills (e.g. statistics algebra) and experience using statistical packages for analyzing datasets (Python R)
  • Knowledge of and experience with data mining segmentation machine learning and optimization techniques.
  • 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.)
  • Knowledge of and experience with Big Data databases (Azure AWS Oracle NoSQL etc.).
  • Aptitude for working in a fast-paced collaborative team environment with proven experience as a self-starter and problem-solver.
  • Excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leaders and peers.

PREFERRED QUALIFICATIONS:

  • Experience within supply chain in automotive industry
  • Blockchain in supply chain management
  • Natural Language Processing
  • Deep learning

Pay Range:

$118700.00 - $211300.00

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 candidates 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

Oshkosh Corporation is a merit-based Equal Opportunity 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 Corporations 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.


Required Experience:

Staff IC


Employment Type : Full-Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 118700 - 211300
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