Data Science Co-Op: Analytics & Modeling (8–12 mo)

bioMerieux; Maryland Heights (MO); On-site; USD 26,000 - 37,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Life Insurance

Disability Insurance

Retirement Plan

Adoption Assistance

Wellness Programs

Employee Assistance Program

Commuter Benefits

Parental Leave

Job summary

bioMérieux seeks a co-op candidate familiar with statistical analysis, data modeling and programming to develop SAS and Python solutions for large multivariate datasets.

You will work closely with the data science team and business partners to break down complex problems while adhering to our quality procedures and standards. This is a paid co-op with health and retirement benefits depending on hours worked.

Qualifications

• Must be enrolled in BS/MS/PhD program with data science focus and at least 1 year completed.
• Active enrollment in the university's formal co-op program to receive academic credit.
• Must be in a co-op program at WashU, MU, or Missouri S&T.

Responsibilities

• Develop algorithms in SAS and/or Python to clean, process, analyze and visualize large multivariate datasets.
• Collaborate with data science team and business partners to translate complex problems into actionable analyses.
• Ensure all work complies with company quality procedures and standards.

Skills

Statistical analysis

Data modeling

Programming

SAS

Python

Visualization

Communication

Team collaboration

Education

BS/MS/PhD in Data Science/Statistics/CS

Active enrollment in co-op program

Enrollment in WashU / MU / Missouri S&T co-op

Tools

SAS

Python

MS Office

Excel

Job description

bioMérieux seeks a co-op candidate familiar with statistical analysis, data modeling and programming to develop SAS and Python solutions for large multivariate datasets.

You will work closely with the data science team and business partners to break down complex problems while adhering to our quality procedures and standards. This is a paid co-op with health and retirement benefits depending on hours worked.