Perform advanced analytics and machine learning techniques as appropriate for the specific use case to derive impactful insights or develop data tools to equip stakeholders to take action
Build reporting data pipelines and dashboards as needed to ensure stakeholders can access accurate, timely, and actionable insights
Document data projects using department approved processes
Manage data science projects from discovery to deployment or presentation
Stay current with data science best practices; maintain ongoing training and professional development and competency in all techniques necessary to complete duties; and participate in the broader data science community to identify and disseminate the latest developments in data and technology
Identify key opportunities through data exploration and partnership with stakeholders that would be most impactful for driving fundraising, marketing, digital communications, and supporter engagement efforts
Translate high level or abstract fundraising goals into specific data solutions
Translate complex data techniques and solutions into clear insights and recommendations and effectively communicate to stakeholders
Deliver presentations and data tool walkthroughs as needed to clearly and effectively communicate findings and recommendations to stakeholders and equip them to leverage and self-service going forward
Requirements
Bachelor’s degree in Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience
2+ years related experience with developing machine learning models and conducting advanced analytics
Experience with CRM technologies (ex. Salesforce)
Experience with and understanding of the Non-Profit fundraising industry
Deep understanding of machine learning concepts and statistical methods
Strong SQL skills and Quantitative Programming skills in Python or R
Substantial experience with visualization tools such as Tableau or Power BI
Proven ability to apply data science techniques to find answers to high level or vague questions and communicate them to stakeholders
Ability to draw insights and conclusions from data to inform data tool development and business decisions
Ability to effectively collaborate with other data scientists, data analysts, data engineers, and key business partners
Willingness and ability to be a multi-functional team member, working across various data science disciplines as needed including machine learning, advanced analytics, data pipeline development, and dashboard creation
Exceptional interpersonal and communication skills
Mature orthodox Christian faith as defined by the Apostles’ Creed
Benefits
Comprehensive Medical/Dental/Vision benefits
Monthly commuter and parking benefits in the DC metro area
Retirement benefit options
Paid leave starting at 23 days
12 holidays (plus early release the day prior)
Daily, quarterly, and annual community spiritual formation
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