About the role

  • 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
  • Robust staff care resources

Job title

Data Scientist

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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