Senior Data Scientist, Audience Analytics for Healthy Communities

Jobgether · US

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist, Audience Analytics for Healthy Communities based in the United States.

This is a high-impact data science role focused on transforming complex, multi-source datasets into actionable insights that shape public health communication strategies at scale. You will work at the intersection of data engineering, statistical modeling, and behavioral analytics to support national campaigns aimed at improving health outcomes and strengthening community well-being. The role blends advanced analytics with real-world impact, helping design and optimize audience segmentation strategies for large-scale public education initiatives. You will collaborate closely with cross-functional teams, clients, and external partners to ensure data-driven decision-making across campaign lifecycles. The environment is highly collaborative, mission-driven, and grounded in applying rigorous science to solve meaningful societal challenges. This position is ideal for a data scientist who enjoys combining technical depth with strategic influence and stakeholder engagement.

Accountabilities:

Develop and maintain robust data pipelines and ETL/ELT processes to clean, integrate, and automate large-scale datasets from surveys, media, and campaign performance sources using Python and R.
Build and optimize data visualizations and interactive dashboards in tools such as Tableau and Power BI to support analysis, reporting, and decision-making.
Conduct advanced statistical analysis, including segmentation, causal inference, predictive modeling, and exploratory data science to generate actionable insights.
Translate complex analytical outputs into clear recommendations, reports, and presentations for clients and internal stakeholders.
Collaborate with campaign, research, and technical teams to design data-informed communication strategies and audience targeting approaches.
Integrate and manage data from multiple vendors and systems, ensuring accuracy, consistency, and usability across platforms.
Support client engagement activities including presentations, status updates, and strategic discussions on campaign performance and optimization.
Contribute to the development and maintenance of scalable analytics infrastructure and data visualization frameworks.

Requirements

5+ years of experience in data science, applied statistics, audience analytics, or related quantitative fields.
Master’s degree in Data Science, Statistics, Public Health, Social Sciences, Marketing, or a related discipline (PhD preferred).
Strong proficiency in Python, R, and SQL for data processing, modeling, and analysis.
Experience with ETL pipelines, data engineering workflows, and cloud platforms such as AWS (e.g., S3, RDS, SageMaker).
Advanced knowledge of statistical and machine learning methods including regression models, clustering, random forests, Bayesian methods, and model evaluation techniques.
Experience building dashboards and visualizations using Tableau, Power BI, or similar tools.
Ability to work with large, complex, and heterogeneous datasets in fast-paced environments.
Strong communication skills with the ability to translate technical findings into business- and client-friendly narratives.
Collaborative mindset with experience working across multidisciplinary teams and external stakeholders.
Familiarity with audience segmentation, marketing analytics, or public health communication is a plus.
Exposure to GIS tools (e.g., ArcGIS) or government/public sector datasets is an advantage.
Strong problem-solving skills, intellectual curiosity, and adaptability in evolving analytical contexts.

Benefits

Competitive salary range: $92,000 – $105,000 annually.
Fully remote position open to candidates across the United States.
Comprehensive health coverage including medical, dental, and vision fully covered for employees.
Short-term and long-term disability insurance included at no cost.
Generous retirement plan with employer match and no vesting period after the third month.
Flexible time-off policy supporting work-life balance and personal responsibility.
Floating holidays to recognize culturally and personally meaningful days.
Paid volunteer time to support community engagement and service initiatives.
Dedicated learning and development budget for professional growth.
Access to employee affinity groups and inclusive community networks.
Additional discounts and perks through a certified B Corp network.

Data & ML pay context

Based on 1,298 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $107K–$246K).

This posting lists $92K–$105K, below the $165K market median.

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Senior Data Scientist, Audience Analytics for Healthy Communities

Accountabilities:

Requirements

Benefits

Data & ML pay context

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