Principal Data Scientist

About the role

This position is designated as a hybrid role based out of our headquarters near Portland, Oregon. The current expectation is for employees to work onsite four days per week, subject to change based on business needs.

Responsibilities

• Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
• Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
• Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve business performance across brands, regions, and channels
• Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standards
• Under minimal supervision, establish and execute plans to build, implement and maintain predictive models using available tools and programming languages
• Manage full life cycle of projects
• Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows
• Translate analytical findings and statistical models into measures of business impact and actionable recommendations
• Drive best practices in applying and deploying Data Science at scale

Requirements

• Aptitude to synthesize and create a cohesive picture from a wide variety of information sources
• Solid time-management skills and able to work on multiple tasks or projects concurrently
• Extremely organized, detail-oriented, resourceful and flexible
• Strong interpersonal, written, communication and relationship-building skills
• Able to work and collaborate with cross-functional teams, including IT, and manage partner expectations
• Able to communicate effectively with all levels of the organization to advance Columbia’s Data Science practice

Qualifications

• Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
• Minimum 3 years of experience as a Data Scientist, Statistician or related position
• Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data
• Broad understanding of core statistical and ML techniques
• Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS
• Proficient in the use of visualization tools, Power BI preferred
• Experience with Microsoft Stack preferred