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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 opportunities
- Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities
- Establish and execute plans to 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 machine learning data pipelines
- Translate analytical findings and statistical models into actionable business recommendations
- Drive best practices for deploying Data Science at scale
Requirements
- Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field
- Graduate degree strongly preferred
- Minimum 3 years of experience as a Data Scientist, Statistician, or related role
- Hands-on experience with 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
- Proficiency in visualization tools, with Power BI preferred
- Experience with Microsoft Stack preferred
Skills
- Data mining
- Predictive modeling
- Machine learning
- Statistical programming
- Rapid prototyping
- SQL
- R
- Python
- SAS
- Power BI
- Microsoft Stack
- Time-management
- Communication
- Relationship-building
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 related 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 benefits including accident, critical illness, hospital indemnity, and legal services
- EAP+ 24/7/365 counseling services
- Wellness benefits
- Employee discounts
- Generous time off program
About the Company
- Founded in 1938, Columbia Sportswear Company is a global leader in outdoor and active lifestyle apparel, footwear, accessories, and equipment.
- Primary brands include Columbia, Mountain Hardwear, SOREL, and prAna.
- The Digital Technology group supports IT infrastructure and applications across four global brands, a global supply chain, and 500+ stores.
Equal Opportunity
- Columbia Sportswear Company is an equal opportunity employer.
- All qualified applicants will receive consideration for employment 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.