Data Scientist - Traditional and Generative AI

Role 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.

• Leverage large-scale data, statistical techniques, and modern AI frameworks to solve high-impact business problems.
• Build production-ready machine learning models and design generative AI applications (e.g., LLM-powered solutions).
• Collaborate with cross-functional teams to deliver scalable, governed, and responsible AI solutions.
• Work location 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.

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.
• 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.
• 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.

Requirements

• 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.

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.