Data Scientist – Traditional and Generative AI

🔥 15 hours ago

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American Red Cross

WebsiteLinkedInAll Job Openings

10,000+ employees

🤲 Charity

🌍 Social Impact

📚 Education

Charity • Social Impact • Education

American Red Cross is a humanitarian organization dedicated to providing relief to those in need, offering services such as disaster relief, blood donation, training in first aid and CPR, and support for military families. Their mission encompasses emergency preparedness, education, and providing assistance to individuals affected by various crises, ensuring a safe and resilient community.

📋 Description

• Develop, validate, deploy, and monitor machine learning and generative AI models to deliver actionable, scalable insights and solutions • Design and implement generative AI solutions using LLMs, prompt engineering, RAG pipelines, and fine-tuning strategies. • Analyze complex datasets by performing data preparation, transformations, exploratory analysis, and feature engineering to uncover trends, patterns, and actionable insights that support advanced analytics and model development • Design and implement end-to-end data and ML pipelines (including model training, evaluation, deployment and monitoring within production environments), while partnering with data engineering to continuously enhance and maintain MLOps tools and processes. • Monitor and evaluate model performance using both quantitative metrics and human feedback loops. • Collaborate with business stakeholders to translate business needs into AI-driven solutions • Develop and deliver clear visualizations, dashboards, and reports that effectively communicate insights and drive business understanding and optimization. • Ensure data quality, model and data governance standards, and responsible AI practices are met, including bias mitigation, security and privacy. • Contribute to AI education, knowledge sharing, and innovation, staying current with emerging trends and translating them into practical applications.

🎯 Requirements

• Bachelor's degree required. Master's degree preferred. • Minimum of 2 years of related experience or equivalent combination of education and related experience required. • Comprehensive knowledge of modern data science techniques including supervised and unsupervised approaches, reinforcement learning, neural networks, clustering algorithms, natural language processing, Bayesian analysis, and experimental design frameworks, with extensive experience in several of the above. • Hands-on experience with generative AI technologies (e.g., LLMs, transformers, or similar frameworks) • Broad knowledge of current data science tools and expert-level ability with Python and the Python data science stack. • Proficiency with general database concepts and SQL. • Experience with cloud-based MLOps frameworks, preferably Databricks and Dataiku. • Experience with complex, automated analytics workflows and MLOps principles related to model governance and production model monitoring. • Verbal and written communication skills with ability to articulate analytical insights/complex findings in a clear, concise, and actionable manner. • Experience with analytic outreach and promotion and balancing competing business and analytic goals. • Experience working in an Agile environment.

🏖️ Benefits

• Medical, Dental Vision plans • Health Spending Accounts & Flexible Spending Accounts • PTO: Starting at 19 days a year; based on type of job and tenure • Holidays: 11 paid holidays comprised of six core holidays and five floating holidays • 401K with up to 6% match • Paid Family Leave • Employee Assistance • Disability and Insurance: Short + Long Term • Service Awards and recognition