Data Scientist

Role Overview

Designs, builds, and extracts large and complex data sets while considering strategic uses and interactions with data design. Serves as the organization-wide specialist on Data Science methods, including data mining, statistical analysis, processing, cleaning, verifying data, and modeling/prediction.

What You Will Do

Applies Data Science methods to drive cost, revenue, and outcomes. Leverages Data Science programming languages to mine and analyze data from enterprise data sources. Communicates complex data or algorithms into simple conclusions that drive business improvement actions.

Why It Might Be a Fit

Requires initiative and ability to work independently, while thriving in a setting requiring collaboration and teamwork for maximal efficiency and effectiveness.

Requirements

• Trained in Data Science methods such as applied statistics, data engineering, and machine learning techniques
• Trained in Data Science programming languages such as Python, R, SQL, etc.
• Strong written and verbal communication skills
• Strong organizational skills
• Initiative and ability to work independently
• Strong in desktop applications, including MS Office and database management applications
• Accepts and benefits from direction and constructive feedback
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Physics, Information Systems, or related appropriate discipline

Benefits

• Medical, Dental, Vision Insurance
• Life Insurance
• Disability Insurance
• Paid Time Off
• 403-B Retirement Plan
• 4 Weeks 100% Paid Parental Leave
• Career Development
• Whole Person Well-being Resources
• Mental Health Resources and Support
• Pet Benefits

Tagged as: Data Analysis, Python, SQL