Brief Description

The Data Scientist is a highly self-directed individual contributor responsible for independently defining, scoping, and executing analytical and modeling initiatives from concept through delivery. This role focuses on developing predictive models, analytical frameworks, and new data products that can be operationalized and reused across the enterprise. The Data Scientist works with minimal day-to-day oversight and partners cross-functionally to translate ambiguous business problems into durable, data-driven solutions.

This is a full-time, salaried, US-based remote position.

Moore is a data-driven constituent experience management (CXM) company achieving accelerated growth for clients through integrated supporter experiences across all platforms, channels and devices. We are an innovation-led company that is the largest marketing, data and fundraising company in North America serving the purpose-driven industry with clients across education, association, political and commercial sectors.

Check out www.WeAreMoore.com for more information.

Your Impact:

Project Definition & Ownership

Independently identify, frame, and scope analysis and modeling opportunities based on business needs and data availability
Translate loosely defined questions into clear analytical objectives, success criteria, and deliverables
Own projects end-to-end, from initial exploration through validation, documentation, and delivery

Modeling & Advanced Analytics

Design, develop, and maintain predictive models using machine-learning algorithms
Perform advanced statistical analysis and feature engineering on large, multi-source datasets
Evaluate model performance, stability, and limitations, and iterate as needed

Data Product Development

Develop reusable analytical assets, scoring systems, features, and model outputs that function as data products
Partner with engineering and data teams to operationalize models and analytical outputs in production environments
Ensure analytical work is designed for scalability, repeatability, and long-term use

Collaboration & Communication

Work cross-functionally with analytics, engineering, product, and business stakeholders to align solutions with business goals
Clearly communicate analytical approaches, tradeoffs, and results to both technical and non-technical audiences
Provide analytical leadership and direction without requiring detailed instruction

Documentation & Standards

Document methodologies, assumptions, data transformations, and limitations to support transparency and reuse
Contribute to the evolution of data science standards, tooling, and best practices

What Success Looks Like:

By 6–12 months, a successful Data Scientist in this role will have:

Independently defined and delivered multiple analytical or modeling initiatives with minimal oversight
Developed at least one new reusable data product (e.g., model, scoring framework, feature set, or analytical asset) that is actively used by downstream teams or systems
Demonstrated strong judgment in scoping work appropriately, balancing rigor, speed, and business impact
Built credibility with cross-functional partners as a trusted analytical thought partner
Established clear, well-documented analytical patterns that others can understand, reuse, and extend
Proactively identified opportunities to improve existing models, data assets, or analytical workflows

Success in this role is measured by the ability to drive analytical work forward independently, not by waiting for detailed task definition.

Your Profile:

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field required
Master’s degree preferred
3+ years of experience in data science, advanced analytics, or predictive modeling
3+ years of experience working with SQL and relational database systems
Experience developing reusable analytical or modeling assets strongly preferred
Experience in data-driven marketing, fundraising, or customer analytics a plus
Proven ability to operate independently in ambiguous problem spaces
Strong background in statistical modeling, predictive analytics, and feature engineering
Advanced SQL skills for data exploration, validation, and analysis
Proficiency in Python (and/or R) for modeling and analysis
Strong analytical judgment and problem-solving skills
Ability to clearly communicate complex analytical concepts
Excellent organizational skills and attention to detail

How We’ll Support You:

Join the largest marketing and fundraising company in North America serving the nonprofit industry where we prioritize innovation and professional growth.
Collaborate with industry subject matter experts with over 5,000 employees across the enterprise.
To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive healthcare, paid holidays and generous paid time off so you can have the time and space to recharge and pursue your other passions and be with the people you care about.
Moore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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