Sr. Data Scientist – Digital Marketing

• 91,700 - 171,300 USD per Year
• Full Time
• Posted : 11 months ago

As the nation's largest community credit union, we begin every day focused on delivering superior financial products and services for our 1.3 million members and more than $30 billion in managed assets. Our work has an economic impact as we support our members' financial goals. We are unapologetic about being devoted to our members and the communities we serve. Our business is guided by our people helping people philosophy – which includes our team members.

• Manage full life-cycle of business models, including data collection, feature engineering, training, deployment, and ongoing performance monitoring. Develop tests, methodologies, and statistically significant findings in partnership with managers, stakeholders, analysts, and technologists.
• Develop machine learning and statistical models to analyze and prioritize internal and external performance drivers. Quantify and effectively communicate the impact of each key driver to the business to help identify new and ongoing business and/or member campaigns and initiatives.
• Support improvement of membership, product, and/or business forecasting as well as capital planning and stress testing using relevant test scenarios and internal business drivers.
• Improve conversation rates via automated personalization and send-time optimization data signals while maintaining dynamic control groups to measure impact.
• Recommend product and/or service improvements, enhancements, and introduction using member data metrics and analytics techniques.
• Participate in the enterprise goal-setting process by providing key statistical data to support the advancement of the bottom-up goal-setting methodology.
• Create custom segmentations using first part data with a focus on understanding and serving BECU’s members.
• Maintain the design and ongoing improvement of BECU’s Member Experience Score.
• Communicate results to technical and non-technical groups, such as strategy teams, leadership, and risk management auditors.
• Design and present ad-hoc analyses, profiles and market research as needed.
• Code efficient queries that incorporate multiple data sources using business information tools and cloud-based platforms.
• Perform other duties as assigned.

• Bachelor’s degree or equivalent experience in Data Science, Statistics, Computer Science, or Economics required, with an advanced degree preferred.
• Minimum 7 years of in-depth experience with scripting languages (SQL, Python, R, etc.) and statistical software (SAS, MatLab, ML platforms, etc.) required.
• Minimum 3 years of experience in financial, marketing or tech industry preferred.
• Previous experience using Alteryx and Google Analytics/BigQuery preferred.
• Previous experience using visual data analytics tools including Tableau, PowerBI, or Google Data Studio preferred.
• Previous experience using marketing data sources and systems including Salesforce Marketing Cloud, customer data platforms, Google Analytics/BigQuery, Fiserv, or SiteCore preferred.
• Excellent presentation and project management skills required.

Skills

• Data Science
• Digital Marketing
• Artificial Intelligence (AI)
• Data Analytics
• Presentations