Senior Data Scientist

Trepp•New York, NY

1d•Hybrid

About The Position

As a Senior Data Scientist at Trepp, you will take a leading role in designing, developing, and deploying advanced data science and GenAI solutions that directly support Trepp’s analytics and product offerings. You will operate with a high degree of autonomy, owning complex projects end-to-end while partnering closely with product, engineering, and business stakeholders. This role emphasizes technical leadership, GenAI production expertise, and mentorship, while continuing to contribute hands-on to statistical, machine learning, and applied analytics initiatives. Your work will shape Trepp’s next generation of data-driven and AI-powered capabilities in commercial real estate and structured finance.

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
5+ years of professional data science or applied machine learning experience.
2+ years of hands-on experience developing, deploying, and maintaining GenAI solutions in production environments.
Advanced proficiency in Python for data analysis, machine learning, and GenAI development.
Strong SQL skills and experience working with large, complex datasets.
Experience with modern ML libraries and frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Proven experience with LLMs and GenAI tooling, including:
Prompt engineering and evaluation
Embeddings and semantic search
Retrieval-augmented generation (RAG) architectures
Model APIs and open-source LLM frameworks
Experience deploying models and GenAI services using cloud platforms (e.g., AWS).
Proficiency with GitHub and collaborative development workflows.
Strong analytical thinking and problem-solving ability, with attention to detail.
Ability to independently own complex projects and manage ambiguity.
Excellent verbal and written communication skills, with the ability to tailor messaging to different audiences.
Ability to balance multiple priorities and work effectively in a fast-paced, cross-functional environment.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Responsibilities

Partner with product managers, engineers, and domain experts to translate ambiguous business problems into scalable, data-driven solutions.
Architect and implement GenAI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), embeddings, agentic architectures and prompt engineering techniques.
Build, evaluate, and maintain machine learning models using appropriate statistical, ML, and deep learning approaches.
Ensure model quality through rigorous experimentation, validation, monitoring, and performance evaluation.
Communicate complex technical concepts, results, and trade-offs clearly to both technical and non-technical stakeholders.
Provide technical mentorship and guidance to junior data scientists, contributing to best practices and team standards.
Contribute to the evolution of Trepp’s data science and GenAI strategy, tools, and methodologies.

Benefits

Base + target bonus compensation structure
Medical, Dental, Vision insurance
401K (with employer match)
Life insurance, long term disability, short term disability all covered by the company
Flexible paid time off (PTO)
Sixteen (16) weeks paid primary caregiver leave (Biological, adoptive, and foster parents are all eligible)
Four (4) weeks paid parental leave
Wellness subsidy
Pet insurance
Laptop + WFH equipment
Career progression plan
Pre-tax commuter benefit with company subsidy (For NYC-office based employees only)
Fun company events and volunteering opportunities