Senior Data Scientist

Role

Senior Data Scientist —
Specialist II - Data Science

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you ll create a boundless impact that transforms your career—and the lives of people across the world.

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We are seeking a highly skilled Senior Data Scientist with expertise in Machine Learning, Artificial Intelligence, Large Language Models (LLMs), foundation models, and fine-tuning techniques.

• Design, build, and optimize Generative AI, LLM, and multimodal foundation models for enterprise fintech applications.
• Fine-tune or adapt open-source and proprietary models.
• Build high-performance models for NLP, document intelligence, anomaly detection, risk scoring, predictive analytics, and decisioning use cases.
• Lead experimentation to evaluate model accuracy, scalability, and fairness.
• Partner with engineering teams to deploy models on cloud-based ML pipelines (Azure, AWS) & data platforms (Databricks & Snowflake).
• Work with large-scale structured and unstructured datasets across the payments and financial ecosystem.
• Implement model monitoring, drift detection, and continuous retraining strategies.
• Evaluate and operationalize new AI technologies, foundation model architectures, responsible AI frameworks, and emerging research.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

• Master s or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
• 5+ years of hands-on experience building and deploying machine learning models in production.
• Proven expertise with LLMs, transformer architectures, transfer learning, and model fine-tuning.
• Strong proficiency in Python, PyTorch or Tensor Flow, and ML libraries such as Transformers.
• Experience with cloud ML platforms, containerization (Docker/Kubernetes), and MLOps tools.
• Solid understanding of statistical modeling, optimization, and evaluation methodologies.
• Strong communication skills and ability to collaborate in cross-functional, fast-paced environments.

Preferred Qualifications

• Experience working in fintech, payments, banking, or fraud/risk environments.
• Background in vector databases, RAG pipelines, and knowledge graph integration.
• Experience with data privacy, model governance, and Responsible AI frameworks.
• Contributions to open-source AI/ML communities or research publications.

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role

Location:

Washington

Compensation Range: $130,000-$195,000

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, 6 days of paid sick leave per year (pro-rated for new hires), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company s 401(k) Retirement Plan with employer matching, medical, dental, and vision insurance, and Company-paid life insurance, accidental death and disability insurance, and short- and long-term disability benefits.

Regular employees may purchase additional voluntary short-term disability benefits and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave per year (pro-rated) and are eligible to participate in the Company s 401(k) Retirement Plan with employer matching. Full-time temporary employees receive 6 days of paid sick leave per year (pro-rated) and are eligible to participate in the Company s 401(k) program with employer matching, and they and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave per year (pro-rated). All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a…