Data Scientist Sr

Posted 2 Days Ago
Be an Early Applicant
New Hudson, MI
103K-177K Annually
Mid level
Artificial Intelligence • Automotive • Computer Vision • Internet of Things • Machine Learning
Oshkosh Corp. designs, builds and manufactures some of the industry’s toughest specialty trucks and access equipment
The Role
As a Data Scientist at Oshkosh, you will analyze datasets using statistical techniques and programming skills, build predictive models, and collaborate with teams to extract insights for business problems. Responsibilities include processing datasets, delivering visual analysis results, and improving data quality.
Summary Generated by Built In

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 15,000 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.

SUMMARY: 

 

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.  

 

YOUR IMPACT  

  • Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C.  

  • Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns.  

  • Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences.  

  • Collaborate with cross-functional teams (e.g. data analysts, engineers, architects, business stakeholders) to understand data science needs for business requirements of medium complexity. 

  • Build complex predictive models and machine-learning algorithms. Integrate models into existing systems. 

  • Perform data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. 

  • Possesses advanced understanding of data models, database design and management for structured and unstructured data. 

  • Resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. 

  • Possesses understanding of business' processes and terminology in at least one area of the business. 

 

MINIMUM QUALIFICATIONS:    

  • Bachelors degree with four (4) or more years of experience in the field or in a related area. 

 

STANDOUT QUALIFICATIONS:   

  • Masters or doctorate degree 

  • Familiarity with Power Platforms 

  • Familiarity with GenAI tools/ LLM

Pay Range:

$102,800.00 - $176,800.00

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 [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.

Top Skills

C
Python
R
The Company
Hagerstown, MD
15,000 Employees
Hybrid Workplace
Year Founded: 1917

What We Do

Oshkosh Corporation is an industrial technology company that builds some of the industry’s toughest specialty trucks and access equipment. We serve our everyday heroes – soldiers, firefighters, people working at great height, environmental and refuse workers – through incredible technology. And with a portfolio of leading brands, we can uniquely take innovation from one brand and apply it across our portfolio.

Why Work With Us

We make equipment that moves the world forward. With ~15,000 team members united under our People First culture, a career at Oshkosh is an opportunity to do more than just impact industries -- it's an opportunity to make a difference in the world around you, protecting those who protect us.

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