Browse
···
Log in / Register

Senior Data Scientist

Negotiable Salary

Plum Inc

San Francisco, CA, USA

Favourites
Share

Description

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.

Source:  workable View original post

Location
San Francisco, CA, USA
Show map

workable

You may also like

Workable
Forecasting & Analytics Intern
Company and Vision PlanetArt’s vision is to be the leading seller of personalized and make-on-demand products worldwide. We provide consumers with unmatched tools and content and an unparalleled end-to-end customer experience that result in high-quality, meaningful finished products and memorable celebrations of live events. The company’s brands include the popular FreePrints and FreePrints Photobooks apps and the industry leading SimplytoImpress card and stationery site, as well as Personal Creations, CafePress and ISeeMe! Visit www.planetart.com  to learn more about our brands. We have more than 500 team members across multiple offices, primarily in Calabasas CA, San Diego CA, Woodridge IL, Minneapolis, MN and Pleasanton, CA. We also have team members in two company-owned offices in China, as well as in Europe. Job Overview PlanetArt is seeking a Forecasting & Analytics Intern to join our Forecasting & Pricing Group. This internship is designed for students or recent graduates who want to explore careers in data analytics, forecasting, and business planning. You’ll gain hands-on exposure to forecasting methods, tools, and cross-functional collaboration while supporting meaningful projects that drive business performance. PLEASE NOTE: Candidates much be local to or willing to relocate to the Calabasas area as we operate on a hybrid work model (3 days onsite, 2 remote) What You’ll Do Key Responsibilities Assist in developing and maintaining forecasting models. Collect, clean, and analyze historical data to support forecasts. Collaborate with Sales, Finance, Supply Chain, Marketing, and Operations to understand business drivers. Create recurring reports, dashboards, and presentations to summarize data and insights. Monitor forecast performance and track variances. Learn and apply statistical and data analysis techniques to improve forecasting accuracy. Support senior analysts on projects and gain exposure to industry best practices. Requirements What You Should Have Skills, Qualifications, and Requirements Graduating seniors (December 2025 or May 2026) or recent graduates with a degree in Statistics, Economics, Data Science, Business Analytics, Finance or a related field. Strong academic background in quantitative analysis or statistics. Exposure to Excel and basic familiarity with SQL, Python, or R (coursework or project-based experience is sufficient). Interest in learning data visualization tools such as Tableau or Power BI. Strong communication skills and willingness to work in a collaborative team environment. Enthusiasm for learning, curiosity, and a proactive attitude. What You Can Expect Working Conditions Work is performed in an office environment with low to moderate noise levels. Occasional lifting of up to 20 pounds. Position requires regular, continuous use of computer. Position requires regular sitting and standing. Position requires regular interaction with team members through the following methods: in-person, phone, WebEx, Slack, or email. May require occasional travel. This is a hybrid position; employees are expected to be in the office three days per week (Monday, Tuesday, and Thursday) with the option of working remotely two days (Wednesday and Friday). Benefits The compensation range for this position is $25 to $30 per hour. Benefits PlanetArt offers a comprehensive benefits package, including: Health, Dental, and Vision Insurance Life Insurance 401(k) with matching Excellent Work/Life Balance – Paid Time Off, Sick Days, Paid Holidays, and Floating Holidays Employee Product Discounts
Calabasas, CA, USA
$25/hour
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.