Data Science & Analytics Engineer - Remote

Overview

The Data Science & Analytics Engineer role at Insperity involves designing, developing, and implementing data science and analytics platforms, alongside machine learning models, to support business needs.

In Short

• Design and develop data science and analytics platforms.
• Implement machine learning models and algorithms.
• Work with an Enterprise Data Engineering scrum team.
• Create and manage datasets for training and testing algorithms.
• Utilize statistical computer languages like Python and R.
• Collaborate with stakeholders and other teams to interpret data.
• Up to 10% domestic travel for conferences and seminars.
• Telecommuting/remote work permitted.
• Minimum education required: Master’s degree in relevant field.
• Minimum experience of 1 year in data science and machine learning.

Requirements

• Master's degree in Data Science, Computer Science, or related field.
• 1 year of experience with data science and machine learning.
• Experience with statistical computer languages (Python, R, C#).
• Experience with MUAI libraries (pandas, ML.NET).
• Strong understanding of statistical techniques.
• Ability to work in a team and communicate effectively.
• Willingness to travel for conferences.

Benefits

• Generous paid time off.
• Top-tier medical, dental, and vision benefits.
• Health & wellness support.
• Paid volunteer hours.
• Continuous learning programs and mentorship opportunities.
• Flexible work environment.