Senior Data Scientist

Vaga não está no LinkedIn

🕒 Maio 11

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $124.700 - $132.300 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Vibrant

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2023

📱 Mídia

🤝 Sem Fins Lucrativos

Media • Non-profit

A Vibrant é uma rede com base em filiação de profissionais de marketing de entretenimento LGBTQ+ que organiza eventos, painéis, encontros sociais e programação da indústria para apoiar, promover e conectar membros em todo o ecossistema de entretenimento e marketing. O grupo mantém um diretório de membros, comitê de liderança, oportunidades de patrocínio e programas de destaque/nomeação para mostrar o trabalho dos membros e proporcionar desenvolvimento profissional e construção de comunidade.

Descrição

• 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.

🎯 Requisitos

• 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).

🏖️ Benefícios

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