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By joining the American Red Cross you will touch millions of lives every year and experience the greatness of the human spirit at its best. Are you ready to be part of the world's largest humanitarian network?

Join us—Where your Career is a Force for Good!

Job Description:

WHY CHOOSE US?
Joining The American Red Cross is like nothing else – it’s as much something you feel as something you do. You become a vital part of the world’s largest humanitarian network. Joining a team of welcoming individuals who are exceptional, yet unassuming. Diverse, yet uncompromising in unity. You grow your career within a movement that matters, where success is measured in people helped, communities made whole, and individuals equipped to never stop changing lives and situations for the better.

When you choose to be a force for good, you’ll have mentors who empower your growth along a purposeful career path. You align your life’s work with an ongoing mission that’s bigger than all of us. As you care for others, you’re cared for with competitive compensation and benefits. You join a community that respects who you are away from work as much as what you do while at work.


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. 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.

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Scope: Individual contributor with comprehensive knowledge in specific area. Ability to execute highly complex or specialized projects. Adapt precedent and may make significant departures from traditional approaches to develop solutions.

Note: Qualified candidates must be authorized to work in the United States. The American Red Cross does not sponsor employment visas.
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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.

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PAY INFORMATION:
The annual salary range for this position is $115K - $130K. We do not offer an annual bonus for this role.

Note that American Red Cross salaries are aligned to the specific geographic location in which the work is primarily performed. Other factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. **We will review specific salary information at the time of phone screening based upon your location & experience.**

This job will be posted for a minimum of five business days and extended if the applicant pool needs to be expanded.



BENEFITS FOR YOU:
As a mission-based organization, we believe our team needs great support to do great work. Our comprehensive package includes:
• 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


*LI-EH1

Apply now! Joining our team will provide you with the opportunity to

make your career a force for good!

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.
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Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, San Diego Fair Chance Ordinance, the California Fair Chance Act and any other applicable state and local laws.

AmeriCorps, the federal agency that brings people together through service, and its partners — the Peace Corps, AmeriCorps Alums, National Peace Corps Association, and the Service Year Alliance — launched Employers of National Service to connect national service alumni with opportunities in the workforce. American Red Cross is proud to be an EONS partner and share our employment opportunities with the network of organizations.

Interested in Volunteering? Visit redcross.org/volunteertoday to learn more, including our most-needed volunteer positions.

To view the EEOC Summary of Rights, click here: Summary of Rights