Data Scientist Intern
Allegan, MI, US, 49010
Applications have closed
Perrigo Company
To make lives better by bringing quality, affordable self-care products that consumers trust everywhere they are soldPerrigo Company is dedicated to making lives better by bringing Quality, Affordable Self-care products that consumers trust everywhere they are sold. Help us do it.
External applicants please note: To apply to this position please click the APPLY button at the bottom of the application. (The SAVE button will only save your profile information but not submit an application for this open position.) Thank you.
Description Overview
The Data Scientist Intern will be responsible for conducting advanced analytics activities, which include analyzing data, building machine learning models, performing exploratory analysis, collaborating with stakeholders, applying artificial intelligence technologies, and helping Perrigo explore new opportunities. This role involves working on various projects, both independently and in teams. The problems to be solved range from traditional manufacturing datasets (such as production and financial data) to non-traditional datasets like biological response data and scientific study results. Having a broad background in different domains is considered an advantage.
Scope of the Role
The intern will collaborate with the Perrigo Advanced Analytics Manager and subject matter experts to collect and document process flows, requirements, and business value drivers, as well as define and understand problems. Additionally, they will cleanse, structure, and conduct exploratory analysis on datasets to support the development of project solutions. Responsibilities also include developing machine learning models, creating model pipelines, and other solution components. Participation in code reviews, debugging solutions, and validating model performance is expected, along with creating documentation for solution code.
Experience Required
- Must be pursuing a bachelors of master degree in business, computer science, data science, etc.
- Good knowledge of R, Python, or other statistical languages.
- Experience with foundational models including tree models, regression models, and other ML algorithms is essential. Experience with tools like Jupyter notebooks, Anaconda, or similar tools is desired.
- Good working knowledge of SQL, excel, and Microsoft azure or other cloud environments is a plus.
- Strong analytical and communication skills are a major factor in success for this role.
- Excellent time management skills are necessary as work will consist of a mixture of long-term projects and ad-hoc/fast-protype requests.
External applicants please note: To apply to this position please click the APPLY button at the bottom of the application. (The SAVE button will only save your profile information but not submit an application for this open position.) Thank you.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other characteristics protected by law. Our full Equal Employment Opportunity and Affirmative Action Policy Statement is available on our main career site in English and Spanish and will be provided in other accessible forms for persons with disabilities. #DIV
Tags: Anaconda Azure Computer Science Excel Jupyter Machine Learning ML models Pipelines Python R SQL Statistics
Perks/benefits: Career development
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