Hello!
We are hiring a Data Scientist to join in a Mechatronics & Sustainable Packaging Customer Experience organization. If you are interested and a fit, please apply today!
*Please note there will be minimal travel*
Title: Data Scientist
Location: Remote (Seattle, WA or Boston, MA)
Duration: 12 Months
Basic Qualifications:
- 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 a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- Experience with HW design verification / validation
Preferred Qualifications:
- Experience working in a manufacturing / warehouse environment
- Large language Models / AI
Key job 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, 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 the 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 your models in production
- Utilize data analysis and visualization tools (JMP, Tableau, Minitab, etc.) to turn data into information
- Predictive analysis and data extrapolation
- Author and maintain technical documentation for data models and analytics solutions
You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
