Role Overview
The Data Scientist will work on the Data Science team to provide support and solutions to manufacturing operations by developing and deploying statistical, machine learning, and deep learning models. The role requires working closely with business partners and engineers to make facilities safe, efficient, and optimal.
What You Will Do
The Data Scientist will own all aspects of analytics projects from start to finish, develop and maintain relationships with key business partners, and operate independently and self-manage.
Why It Might Be a Fit
The ideal candidate will have experience creatively applying machine learning, deploying models to production, and working with large data sets. The role requires strong communication and collaboration skills, with experience gathering, translating, and implementing business requirements and feedback into technical solutions.
Requirements
- Bachelor’s Degree or higher in a field related to data science
- 2+ years of experience creatively applying machine learning
- Experience in data science that encompass having models deployed to production with successful outcomes for users
- Experience with unsupervised and supervised machine learning
- Experience working with large data sets
- Experience with cleaning, manipulating, analyzing, and modeling time series data
- Experience with writing and executing complex SQL queries
- Ability to manage and deliver multiple projects in a fast-paced environment
- Ability to work effectively in a collaborative team environment
- Experience with code version control platforms such as GitHub or GitLab
- Strong communication and collaboration skills, with experience gathering, translating, and implementing business requirements and feedback into technical solutions
Benefits
- Medical, dental, vision
- Flexible spending and health savings accounts
- Life insurance
- ADD, disability, retirement
- Paid vacation/time off
- Educational assistance
- Infertility assistance
- Paid parental leave
- Adoption assistance
To apply for this job please visit linkedin.com.
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