Senior Data Scientist, Audience Analytics
New
Fully remote position open to candidates across the United States.Full-TimeSenior
Salary92,000 - 105,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLETLMachine LearningMicrosoft Power BITableauR
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.
Responsibilities
- 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.
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