OMYA
Data Scientist Spring Co-Op 2027
United States · On-site · Full time
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About the role
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- EmployerOMYA
- LocationUnited States
- Work styleOn-site
- Employment typeFull time
- Employer posted
BASIC FUNCTION:
We are seeking a motivated and analytical Data Scientist Coop student to join our team. You will work closely with scientists and senior data scientists and cross-functional teams to analyze large datasets, build predictive models, and generate actionable insights that support business decisions.
RESPONSIBILITIES:
Collect, clean, and preprocess data from various sources.
Perform exploratory data analysis to identify trends and patterns.
Assist in developing and deploying machine learning models.
Create dashboards and visualizations to communicate findings.
Collaborate with stakeholders to understand business needs and translate them into data solutions.
Document methodologies and maintain reproducible workflows.
Stay updated on the latest data science tools and techniques.
QUALIFICATIONS:
Must be currently enrolled in an accredited college or university, pursuing a degree inData Science, Computer Science, Statistics, Mathematics, or a related field.
Show full description
Ideal candidate must have 0-3 years of experience in a similar role and have proficiency in Python or R, and SQL, must have familiarity with data visualization tools (e.g., Power BI, matplotlib, seaborn).
Understanding of statistical methods and machine learning algorithms. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities.
EOE
WHY CANDIDATES CHOOSE OMYA:
Global company with operations in more than 50 countries
140+ years of industry leadership
Safety-first environment
Company values driven organization
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Advertised salary for this role here
These are advertised ranges, not what people are paid.
- USD a year, after annualising126,000–423,000 (39 listings, 14 employers)
At a glance
- Work styleOn-site
- Employment typeFull time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
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