PLUM Commercial Real Estate Lending

Senior Data Scientist

PLUM Commercial Real Estate Lending, WorkFromHome

1 week ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

This range is provided by PLUM Commercial Real Estate Lending. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $200,000.00/yr

PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person's contributions and ideas are critical to the growth of the company.
This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We're a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually.
Job Summary
We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum's AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment.
This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You'll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key.
Key Responsibilities

Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results
Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration
Build and optimize workflows using frameworks such as LangChain
Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts
Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy
Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback
Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production
Collaborate with cross-functional teams to integrate generative outputs into client-facing applications

Requirements

Master's degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience
3+ years of experience developing and deploying machine learning pipelines in production
1+ years of experience building Generative AI or LLM-based applications
Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs)
Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics
Experience designing and implementing RAG architectures
Hands-on experience with Databricks, MLflow, or similar platforms
Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production
Strong problem-solving skills and ability to lead through ambiguity
Excellent communication and documentation habits

Preferred Qualifications

Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains
Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI
Familiarity with fine-tuning or custom instruction tuning of LLMs
Understanding of data privacy and compliance implications when working with client data and GenAI systems

Benefits
Benefits and Compensation

A fast-paced, collaborative startup culture with high visibility
Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
Opportunity to make a meaningful impact in building a company and culture.
Equity in a financial technology startup.
Generous health, dental, and vision coverage for employees and family members + 401K
Eleven paid holidays and unlimited discretionary vacation days
Competitive compensation and bonus potential

Seniority level

Seniority level
Associate

Employment type

Employment type
Full-time

Job function

Job function
Analyst
Industries
IT Services and IT Consulting

Referrals increase your chances of interviewing at PLUM Commercial Real Estate Lending by 2x

Sign in to set job alerts for “Senior Data Scientist” roles.

Machine Learning Scientist (Staff / Sr Staff) - Power Markets

San Francisco County, CA $240,000.00-$275,000.00 1 month ago

Geospatial Data Scientist (Research Fellow or Part-time Consultant)

San Francisco, CA $40.00-$80.00 2 months ago

Geospatial Data Scientist (Research Fellow or Part-time Consultant)

San Francisco, CA $102,600.00-$148,050.00 2 weeks ago

San Francisco, CA $90,000.00-$150,000.00 3 weeks ago

San Mateo, CA $120,000.00-$135,000.00 5 days ago

San Francisco, CA $160,000.00-$240,000.00 2 hours ago

Applied Sr Data Scientist - Fintech Foundation

San Francisco, CA $208,400.00-$308,800.00 2 weeks ago

San Francisco, CA $110,000.00-$160,000.00 2 weeks ago

Scientist II, Real World Data Science - Translational Research

San Francisco, CA $181,200.00-$268,400.00 2 weeks ago