Senior Data Scientist

Job not on LinkedIn

🕒 May 11

🇺🇸 United States – Remote

💵 $124.7k - $132.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Vibrant

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

📱 Media

🤝 Non-profit

Media • Non-profit

Vibrant is a membership-based network of LGBTQ+ entertainment marketing professionals that organizes events, panels, socials, and industry programming to support, promote, and connect members across the entertainment and marketing ecosystem. The group maintains a member directory, leadership committee, sponsorship opportunities, and spotlight/nomination programs to showcase members’ work and provide professional development and community-building.

📋 Description

• Design, develop, validate, and deploy predictive models and analytical reports that address core business and programmatic objectives. • Ensure models and reports are explainable, well-documented, and accompanied by clear articulation of assumptions, opportunities, and limitations. • Monitor deployed models for data drift, performance degradation, and quality issues; lead remediation efforts as needed. • Translate complex analytical findings into accessible insights for program staff, leadership, and external partners. • Champion data literacy across the organization—partnering with business users to build understanding of how models and reports inform Vibrant’s work. • Develop and deliver training materials and workshops on data literacy, analytical thinking, and model interpretation. • Collaborate with data engineers and analytics teams to ensure data pipelines and infrastructure meet modeling and reporting needs. • Apply statistical and machine learning methods rigorously—selecting appropriate techniques, validating assumptions, and assessing uncertainty. • Contribute to Vibrant’s data science infrastructure, including model registries, version control, and deployment pipelines on AWS. • Support ad hoc analytical requests from program and operational teams.

🎯 Requirements

• Bachelor’s or Master’s degree in a quantitative discipline (statistics, computer science, epidemiology, public health, applied mathematics, or related field), or equivalent applied experience. • 4+ years of applied data science experience, including AI/ML model development and code-based analysis and reporting. • Experience in public health, behavioral health, social services, or a mission-driven organization a strong plus. • Prior experience as a team lead or similar helpful. • Familiarity with equity-centered data practices and considerations for algorithmic fairness a plus. • Strong proficiency in Python and/or R for data analysis, modeling, and reporting; familiarity with relevant libraries (scikit-learn, pandas, tidyverse, etc.). • Experience with model development, validation, deployment, and ongoing quality control in a production environment. • Hands-on experience with AWS data science services, including SageMaker for model training and deployment. • Advanced statistical knowledge—including regression, classification, clustering, causal inference, and experimental design. • Experience working with large, complex datasets in cloud-based data warehouse environments (Redshift, Snowflake, or similar).

🏖️ Benefits

• medical • dental • vision • supplemental income insurance • employer paid disability insurance • employer paid life insurance • pre-tax FSA for medical and dependent care • 401K available