Senior Data Scientist

(This role is based in Trepp's NYC office and follows a hybrid work schedule)

About this Role 

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. 

Professional and Technical 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. 

Requirements 

Education & Experience 

• 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. 

Core Technical Skills 

• 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. 

Professional Skills 

• 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. 

Salary Range:

• Base salary starting from $160k plus bonus eligible

Benefits and Perks:

• 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

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).

Workplace Policy:

NYC, PA, and London office-based positions: Trepp’s offices follows a 3-2 hybrid-working policy with the expectation of in-office work on Tuesday-Thursday and the option to work from home on Monday and Friday.

Trepp maintains a drug-free workplace.