Data Scientist - Traditional and Generative AI

Das ist der Job

Work location: Virtual; must reside in the United States and work on an east‑coast schedule.

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Job Description What you need to know about the job: 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. 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.

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. Benefits Medical, Dental, and Vision plans.

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.

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. Some travel is required and participation on camera for meetings is required.

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.

Required 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. 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. 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. Compensation The annual salary range for this position is $115K – $130K. No annual bonus is offered. Health Spending Accounts & Flexible Spending Accounts. PTO: Starting at 19 days a year; based on type of job and tenure.

Holidays: 11 paid holidays (six core holidays and five floating holidays). 401K with up to 6% match. Paid Family Leave. Employee Assistance. Short‑ and long‑term disability and insurance. Service awards and recognition. EEOC Statement The American Red Cross is an Equal Opportunity employer.

All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. #J-18808-Ljbffr