Senior Data Scientist, Commercial Analytics

AirLife; Grand Rapids (MI); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Paid time off

Job summary

AirLife is seeking a Sr. Analyst, Data Science to build predictive models and forecasts for commercial decisions, including demand planning and pricing optimization.

You will develop and deploy analytical solutions, reconcile data, and advance reporting capabilities across sales, pricing, and finance. You will collaborate with business users, automate processes where possible, and ensure data integrity across systems while applying regulatory awareness and best practices.

Qualifications

• Experience building predictive models or forecasts using Python, R, or similar.
• Experience with Power BI, Power Query or other BI tools.
• Experience with SQL, Python, R or other programming tools.
• Experience with project management lifecycles.
• Experience with requirements gathering and report building.

Responsibilities

• Develops and deploys machine learning models, analyses, and forecasts to support commercial decisions.
• Creates and maintains reporting for key business users using Power BI and Excel.
• Leads requirements gathering, coordinates stakeholders, manages timelines, delivers solutions.
• Finds opportunities to increase efficiency through automation and predictive analytics.
• Communicates with business users about reports and AirLife data processes.
• Acts as SME for data and tools to guide best practices.

Skills

ML & forecasting

Experiment design

Analytical thinking

Communication

Independence

Team collaboration

Education

Bachelor’s degree in CS/IS/Data Mgmt

Related field experience

Tools

Power BI

Power Query

SQL

Python

R

Job description

AirLife is seeking a Sr. Analyst, Data Science to build predictive models and forecasts for commercial decisions, including demand planning and pricing optimization.

You will develop and deploy analytical solutions, reconcile data, and advance reporting capabilities across sales, pricing, and finance. You will collaborate with business users, automate processes where possible, and ensure data integrity across systems while applying regulatory awareness and best practices.