About MSF-USA | Doctors Without Borders
Doctors Without Borders/Mรฉdecins Sans Frontiรจres (MSF) is an international humanitarian organization providing medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries. We were formed in France in 1971 as an association by a group of doctors and journalists to go to emergency situations and to treat patients with dignity while bearing witness independently of geopolitical boundaries. MSF is now a global movement of more than 25 MSF organizations, working in over 70 countries. We cooperate as an international, independent, medical humanitarian association that offers medical assistance to populations in distress, victims of natural or manmade disasters, and civilian victims of armed conflict, without discrimination and irrespective of race, religion, age, gender/sex, national or ethnic origin, color, disability, sexual orientation, genetic information, or political affiliation and provides assistance to the population in distress and intervenes worldwide. MSF staff also โbear witnessโ by speaking out about our work and what is experienced on the ground, not only to draw the worldโs attention to crises, but to stand in solidarity with our patients and colleagues who are experiencing these emergencies firsthand.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSFโs social mission.
Role Overview
The Senior Data Scientist will collaborate within a team framework to address diverse business queries and derive actionable insights from available data. They will lead advanced analytics initiatives, leveraging machine learning and statistical modeling to drive strategic decisions and create innovative solutions. They will be responsible for managing the entire lifecycle of data analysis projects, from data collection and preprocessing to model development and deployment.
Department Accountabilities
Prospecting
Pursue strategic opportunities in coherence with MSF-USAยดs strategy, that create long-term value for the movement by identifying and developing new audience segments or donors for its mission.
Donor Cultivation, Engagement and Management
Provide data analysis to build trust and loyalty with potential and existing donors. Uncover data patterns to build long-term relationships with key donors and key donor segments.
Fundraising
With data analysis, help drive secure reliable, sustainable and efficient resources in alignment with MSF-US commitments.
Best-in-Class Fundraising Systems and Capabilities
Deploy and champion the latest AI and Machine learning technologies and capabilities that push the boundaries of what Development can produce for its donors.
Roles Specific Outcomes
Donor Segmentation and Targeting
Lead the development and execution of advanced donor segmentation and targeting strategies using machine learning and statistical analysis. Create dynamic donor profiles that enhance personalized outreach efforts, improving donor engagement and maximizing fundraising effectiveness.
Fundraising Performance Analytics
Drive the analysis of fundraising activities to identify trends, measure performance against goals, and uncover insights that inform strategic decisions. Develop predictive models to forecast fundraising outcomes, enabling proactive strategy adjustments and resource allocation.
Campaign Optimization
Utilize data-driven methodologies to optimize fundraising campaigns across multiple channels. Implement multivariate analysis to determine the most effective messaging, timing, and channels for donor outreach, significantly increasing campaign ROI.
Stakeholder Reporting and Communication
Craft and present clear, actionable reports and dashboards to stakeholders, illustrating the impact of data science initiatives on fundraising efforts. Engage regularly with fundraising teams to understand their challenges and provide data-supported solutions.
Innovation and Best Practices in Fundraising Analytics
Champion the adoption of cutting-edge data science techniques and tools within the fundraising domain. Stay abreast of industry trends and advancements in analytics, incorporating innovative approaches that enhance fundraising strategies and outcomes. Participate in professional development opportunities to continuously improve skills and knowledge in both data science and philanthropy.
Complexity and Problem-Solving Skills
- Operates as a recognized machine learning expert to assess the facts and circumstances of the current situation and/or environment and making the appropriate/innovative adjustments to thinking and work habits to thrive in any scenario.
- Applies data science expertise to act as an authority to accurately identify and understand the key donation influences pertaining to an opportunity.
- Applies AI expertise to act as an authority to establish trust quickly and effectively within the organization.
Behavioral Competencies
People Focus
Builds strong relationships and delivers solutions geared to aiding others. Solicits feedback and data; conveys a clear understanding of the level of service the team is providing; takes action when standards are not met by team; aligns processes with organizational needs.