Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, validate, and implement predictive models and analytical reports that align with business and programmatic goals.

• Ensure that models and reports are comprehensible, well-documented, and clearly outline assumptions, opportunities, and limitations.

• Monitor the performance of deployed models for data drift, degradation, and quality concerns; lead efforts for remediation.

• Convert complex analytical insights into accessible information for program staff, leadership, and external partners.

• Advocate for data literacy throughout the organization.

• Collaborate with business users to enhance understanding of how models and reports impact Vibrant’s initiatives.

• Create and deliver training materials and workshops focused on data literacy, analytical thinking, and model interpretation.

• Work alongside data engineers and analytics teams to develop data pipelines and infrastructure.

• Utilize statistical and machine learning techniques, validate assumptions, and evaluate uncertainty.

• Contribute to the data science infrastructure, including model registries, version control, and AWS deployment pipelines.

• Address ad hoc analytical requests from program and operational teams.

• Perform additional responsibilities as assigned.

⛳️ Requirements

• Bachelor's or Master's degree in a quantitative field (statistics, computer science, epidemiology, public health, applied mathematics, or a related discipline), or equivalent practical experience.

• Over 4 years of hands-on data science experience, including AI/ML model development and coding-based analysis and reporting.

• Strong expertise in Python and/or R for data analysis, modeling, and reporting activities.

• Familiarity with libraries such as scikit-learn, pandas, tidyverse, or similar.

• Proven experience in model development, validation, deployment, and ongoing quality management in a production setting.

• Practical experience with AWS data science services, including SageMaker for model training and deployment.

• Advanced knowledge of statistics, including regression, classification, clustering, causal inference, and experimental design.

• Experience handling large, complex datasets in cloud-based data warehouse environments like Redshift, Snowflake, or similar.

• Exceptional written and verbal communication skills for both technical and non-technical audiences.

• Strong analytical curiosity, meticulous attention to detail, and the ability to work independently on ambiguous challenges.

• High level of influencing capability.

• Experience in public health, behavioral health, social services, or a mission-driven organization is a significant advantage.

• Previous experience as a team lead or in a similar capacity is beneficial.

• Knowledge of equity-centered data practices and algorithmic fairness is a plus.

• Ability to remain stationary for 50% of the time.

• Must frequently operate a computer and other office productivity machinery.

• Must regularly communicate via video calls with internal and external stakeholders.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Supplemental income insurance

• Employer-paid disability insurance

• Employer-paid life insurance

• Pre-tax FSA for medical and dependent care

• 401K available