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Senior Data Scientist Senior Data Scientist
Médecins Sans Frontières (MSF)
Development
Full-time
Expired
Posted 1 month ago
Job Description

About MSF-USA | Doctors Without Borders

Doctors Without Borders/Médecins Sans Frontières (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 “bear witness” by speaking out about our work and what is experienced on the ground, not only to draw the world’s 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 MSF’s 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-USA´s 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.

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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.

Manages Complexity

Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. Consistently looks at complex issues from many angles; obtains a rich and deep understanding; swiftly cuts to the core issue; skillfully separates root causes from symptoms.

Global Perspective

Takes a broad view when approaching issues, using a global lens. Shows global thinking at work; adjusts organizational practices to meet the unique needs of different regions or countries. Uses a broad perspective when addressing issues and challenges.

Cultivates Innovation

Creates new and better ways for the organization to be successful. Approaches professional work in unique or innovative ways. Offers original ideas. Appreciates others' creative ideas and solutions and provides helpful input to enhance them.

Drives Results

Consistently achieves results, even under tough circumstances. Regularly pushes self to achieve outstanding outcomes; consistently establishes bold goals for own performance; is passionate about excellent results and significant contributions. Shows great tenacity to complete goals/initiatives in a timely way.

Collaborates

Builds partnerships and works collaboratively with others to meet shared objectives. Readily involves others to accomplish goals; stays in touch and shares information; discourages "us versus them" thinking; shows appreciation for others' ideas and input.

Values Differences

Recognizes the value that different perspectives and cultures bring to an organization. Confronts stereotyping and offensive comments promptly. Consistently behaves with great sensitivity toward differences in cultural norms, expectations, and ways of communicating.

Communicates Effectively

Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. Listens attentively and takes an interest. Keeps others well informed; conveys information clearly, concisely, and professionally when speaking or writing.

Instills Trust

Gains the confidence and trust of others through honesty, integrity, and authenticity. Models honesty and authenticity and encourages others to be up front with one another. Demonstrates reliability and places a strong emphasis on the team meeting its commitments. Fairly represents others' positions.

Manages Ambiguity

Operates effectively, even when things are not certain or the way forward is not clear. Responds effectively to unclear situations, seeks to resolve ambiguity and make progress. Seeks guidance on how to adapt to changes, responds with appropriate composure and effectiveness.

Situational Adaptability

Adapts approach and demeanor in real time to match the shifting demands of different situations. Serves as an example of adaptability and provides guidance and support to help others adapt to new situations. Considers the needs of clients, constituents, and the organization; shifts priorities appropriately.

Technical Competencies

Plans and Aligns

Planning and prioritizing work to meet commitments aligned with MSF-USA goals.

Financial Acumen

Interprets and applies understanding of key financial indicators to make better business decisions.

Tech Savvy

Anticipating and adopting innovations in organizational digital and technology applications.

Data Collection and Analysis

The ability and skill to determine and analyze trends using machine learning to drive data decision-making.

Project Management Skills

The ability and skill to plan and manage small project work assignments within desired cost, time and quality parameters.

Presentation and Written Communication Skills

Adapts approach and demeanor in real time to match the shifting demands of different situations. Serves as an example of adaptability and provides guidance and support to help others adapt to new situations. Considers the needs of clients, constituents, and the organization; shifts priorities appropriately

Organizational Insight

Applying knowledge of MSF-USA and the industry to advance the organization’s goals.

Supervisory Responsibility

No direct supervisory responsibilities for this position.

Desired Qualifications & Experience

At a minimum the Job Holder should possess:

  • Accumulate a robust portfolio demonstrating a minimum of 3 years of progressive professional experience as a Data Scientist or Statistician, showcasing a consistent track record of leading and delivering impactful data-driven projects within complex organizational settings.
  • Possess a degree in a pertinent field (e.g. Statistics, Data Science, Computer Science, etc.)
  • High proficiency in Python and SQL.
  • Experience with libraries and frameworks such as Pandas, NumPy (for Python)
  • Understanding of machine learning algorithms and the ability to apply them to solve real-world problems.
  • Ability to create meaningful visualizations of data using tools like Matplotlib, Seaborn (Python), ggplot2 (R), or business intelligence platforms.
  • Experience with complex data warehouse builds (AWS, Azure, etc.)

Preferred Qualifications:

  • Experience with ETL tools (Mulesoft, Alteryx, etc)
  • Data Wrangling: Experience in cleaning and preparing data for analysis.
    Version Control Systems: Familiarity with Git or other version control systems.
  • AWS/Microsoft Solutions Certified

Travel Requirements

No travel requirements

Compensation

$88,822 - $111,027 (based upon experience)

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