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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Traditional and Generative AI - **Company:** American Red Cross - **Location:** Washington, DC, United States - **Experience:** Experienced - **Salary:** $115,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Artificial Neural Networks, Big Data, Cloud Computing, Cluster Analysis, Data Cleansing, Information Engineering, Data Governance, Database Theory, Github, Python (Programming Language), Machine Learning, Natural Language Processing, SQL Databases, Reinforcement Learning, Feature Engineering, Large Language Models, Prompt Engineering, Generative AI, Data Analytics, Machine Learning Operations, Dataiku, Databricks - **Published:** July 8, 2026 - **Apply:** https://americanredcross.wd1.myworkdayjobs.com/American_Red_Cross_Careers/job/Statewide-DC/Data-Scientist---Traditional-and-Generative-AI_RC89652 ## About the Role WHAT YOU NEED TO SUCCEED (required/minimum qualifications): * Education: Bachelor's degree required. Master's degree preferred. * Experience: Minimum of 2 years of related experience or equivalent combination of education and related experience required. Skills & Abilities: * 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. WHAT WILL GIVE YOU THE COMPETITIVE EDGE (Preferred Qualifications): * Demonstrated portfolio of work (e.g., GitHub, notebooks, deployed applications, or project summaries) * Experience explaining complex AI solutions to non-technical stakeholders * Passion, energy, and commitment to the humanitarian mission of the Red Cross *Combination of candidate's education and general experience satisfies requirements so long as the total years equate to description's minimum education and general experience years combined (Certification cannot be substituted). Physical Requirements Physical requirements are those present in normal office environment conditions. Operational flexibility is required to meet sudden and unpredictable needs. Ability to use a personal computer, applicable software, and office equipment for sustained periods of time. May include sitting for long periods of time, driving a vehicle, and working under challenging conditions. ## Description The Enterprise AI organization is seeking a Data Scientist with genuine real-world expertise in both traditional machine learning and generative AI to join our team. In this role, you will develop, deploy, and scale advanced AI solutions-including predictive models and generative AI systems-within a complex enterprise data ecosystem. You will leverage large-scale data, statistical techniques, and modern AI frameworks to solve high-impact business problems. This includes building production-ready machine learning models, designing generative AI applications (e.g., LLM-powered solutions), and collaborating with cross-functional teams to deliver scalable, governed, and responsible AI solutions. This role is best suited for individuals who have directly contributed to the design, build, and deployment of data science or AI solutions and can clearly articulate their hands-on involvement in prior work. The work location for this exciting opportunity is virtual but must reside in the United States and work on an east coast schedule. Some travel is required and participation on camera for meetings is required. WHERE YOUR CAREER IS A FORCE FOR GOOD (Key Responsibilities): * 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. +++++++++++++++++++++++++++++++ Scope: Individual contributor with comprehensive knowledge in specific area. Ability to execute highly complex or specialized projects. 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