Senior Data Scientist
Washington, DC and Alpharetta, GA (Onsite)
Full Time/Permanent (C2C not possible)
Skills
data science,machine learning,big data,artificial intelligence,
Job description:
Who We Are:
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.
Visit us at UST.com.
You Are:
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.
The opportunity:
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.
What you need:
Master's or PhD in Computer Science, Data Science, Machine Learning, AI, or related field.
10+ 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 TensorFlow, 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.
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