Data Scientist

Insight Global - Sumner, WA

Full-time

Sumner, WA

Administrative and Support Services

About the position

The Data Scientist role at Insight Global involves leveraging large volumes of data to derive actionable insights that inform business decisions. The position focuses on developing statistical and machine learning models, analyzing data, and collaborating with various teams to implement these models in production. The role emphasizes the importance of diversity and inclusion within the workplace.

Responsibilities

• Understand the business reality and discover actionable insights from large volumes of data
• Decompose aggregated measurement data into its singular components and assist with putting mechanisms in place to measure, track, and visualize
• Help validation teams to determine how to apply the right statistical rigor in their work
• Develop statistical and machine learning models to identify trends and patterns in qualitative data
• Use rate information and other critical measurements to provide a standard template for site selection
• Develop search algorithms for text-based voice of customer comments and perform necessary calculations to determine priority of findings
• Innovate by adapting new modeling techniques and procedures
• Use code to analyze data and build statistical and machine learning models/algorithms
• Partner with developers and business teams to test models in production
• Utilize data analysis and visualization tools (JMP, Tableau, Minitab, etc.) to turn data into information
• Conduct predictive analysis and data extrapolation
• Author and maintain technical documentation for data models and analytics solutions

Requirements

• 3-5 years of experience as an Analytics & Statistical Engineer or Data Scientist
• Proficiency in SQL
• Proficiency in Python / R, Minitab, or equivalent
• Proficiency with one or more data visualization tools (Tableau, JMP, PowerBI, etc.)
• Master's degree in a quantitative field, or Bachelor's degree and 2+ years of experience in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience with HW design verification/validation
• Experience working in a manufacturing/warehouse environment

Nice-to-haves

• Experience with Large Language Models / AI