Data Scientist Job at Doosan Bobcat NA US, West Fargo, ND

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  • Doosan Bobcat NA US
  • West Fargo, ND

Job Description

At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers – and make the world a better place. Join our team today and start building your career with a worldwide leader.

Job Information

Join Our Team of Digital Groundbreakers: Where Innovation Meets Global Impact


As a Data Scientist you will be a part of a team that will apply advanced statistical and computational methods to solve real-world business problems. Your responsibilities will include various steps within the data science lifecycle, from data collection and cleaning to model development and deployment. You will play a critical role in enabling data-driven decision making across our organization. Additionally, you collaborate closely with cross-functional teams to align data science initiatives with business objectives and strategize innovative solutions that challenge the status quo to optimize processes and drive growth.

Role & Responsibility

Solution Deployment

  • Develop machine learning and artificial intelligence applications, with an emphasis on the production of intuitive user experiences characterized by clean design and ease of use.
  • Implement best practices of MLOps to ensure the reliability, scalability, and performance of machine learning models in production environments.

External Partnerships

  • Collaborate with external partners to accelerate development and deployment of data science solutions, leveraging complementary capabilities and resources.
  • Incorporate the latest advanced analytics processes learned from external partners into our internal workflows and methodologies, ensuring that our data science practices remain at the forefront of industry innovation.

Advanced Algorithms and Solutions

  • Research, develop, and deploy advanced machine learning algorithms and predictive models to solve complex business problems.
  • Explore novel techniques and methodologies to enhance the performance, scalability, and robustness of our data science solutions.
  • Identify relevant data sources and variables for analysis, leveraging both structured and unstructured data, to generate key insights for business improvement.

Job Requirement

  • Education Required: Bachelor’s Degree in a quantitative discipline, such as Data Science, Mathematics, Computer Science, Engineering, or a related field with applicable skills.
  • 2+ years of related work experience
  • Strong problem-solving abilities. 
  • Curiosity with the ability to learn and apply new technologies.
  • Demonstrated proficiency in programming language(s), preferably Python. Experienced use of AWS, Azure is preferred.
  • Excellent teamwork/collaborative aptitude, with the ability work independently. 

As a part of the Doosan Group, which employs more than 43,000 people in 38 countries worldwide, the company offers its customers products and solutions to help build stronger businesses and communities. Based in Seoul, South Korea, with its North America headquarters in West Fargo, North Dakota, Doosan Bobcat is a leading global manufacturer of construction, agriculture, landscaping and grounds maintenance equipment, attachments and services. The company is committed to empowering people to accomplish more.

Doosan is committed fostering an inclusive and a diverse workforce and is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, religion, creed, citizenship status, national origin, disability, marital status, sexual orientation, gender identity, protected veteran status, or any other status or characteristic protected by law. If you have a disability or special need that requires accommodation, please contact us at 701-476-4263. Doosan is a VEVRAA federal contractor and seeks priority referrals of protected veterans.

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Job Tags

For contractors, Work experience placement, Immediate start, Worldwide,

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