Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
The Principal Data Scientist joins the Data & Analytics team to deliver innovative analytical solutions for organizational challenges. This role focuses on developing end-to-end solutions, from prototyping to production-ready complex algorithms, with a specific emphasis on Direct-to-Consumer needs.
Responsibilities
- Design and build scalable models using statistical and machine learning techniques for integration into business workflows
- Collaborate with D&A team members and business partners to translate requirements into advanced analytics solutions
- Conduct exploratory data analysis and data mining to identify patterns, trends, and business performance opportunities
- Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities
- Build, implement, and maintain predictive models under minimal supervision
- Manage the full project life cycle
- Collaborate with Data Engineers to validate source data and develop data pipelines
- Translate analytical findings into business impact measures and actionable recommendations
- Drive best practices in deploying Data Science at scale
Requirements
- Minimum 3 years of experience as a Data Scientist, Statistician, or related position
- Hands-on quantitative experience in data mining, predictive modeling, machine learning, and statistical programming
- Experience working with both structured and unstructured data
- Demonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithms
- Broad understanding of core statistical and machine learning techniques
- Highly proficient in SQL and statistical programming languages such as R, Python, or SAS
- Proficient in visualization tools, with a preference for Power BI
- Experience with Microsoft Stack preferred
- Strong time-management, organizational, and interpersonal skills
- Ability to collaborate with cross-functional teams and manage partner expectations
Skills
- Statistical modeling
- Machine learning
- Data mining
- Predictive modeling
- SQL
- R
- Python
- SAS
- Power BI
- Microsoft Stack
- Data visualization
- Rapid prototyping
Location
- Portland, Oregon
Work Type
- Hybrid
- Full-time
Experience Level
- Minimum 3 years of experience
Education Level
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field
- Graduate degree strongly preferred
Benefits
- 401k plan with company match
- Medical, dental, and vision insurance
- Life insurance
- Disability insurance
- Flexible spending accounts
- Health savings account
- Voluntary benefit offerings including accident, critical illness, hospital indemnity, and legal services
- EAP+ counseling services
- Wellness benefits
- Employee discounts
- Generous time off program
About the Company
- Global apparel and footwear company with over 80 years of history
- Operates four global brands with a global supply chain and 500+ stores
- Committed to protecting the outdoors and empowering people to experience it
- Driven by the philosophy of relentless improvement
Equal Opportunity
- Columbia Sportswear Company is an equal opportunity employer
- Qualified applicants receive consideration without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law
- Committed to providing reasonable accommodation for individuals with disabilities