Senior Data Scientist II

Emburse Senior Data Scientist II - Data Science Platform

As a Senior Data Scientist II at Emburse, you will drive design and implementation of data products using a variety of AI approaches including foundation models (GenAI), deep learning, neural networks and other machine learning pipelines to help build the future of full expense lifecycle automation.

Description

As a key member of our team, you will support our product development teams with insights gained from analyzing company data with respect to potential opportunities for product and process optimization. You must have strong experience using a variety of data mining / data analysis methods. The Senior Data Scientist II will lead data modeling and machine learning projects using a variety of data tools, modeling approaches and algorithms. You will also design experiments to evaluate models by conducting AB testing and simulations.

Key Responsibilities

• Able to translate product design requirements into pipeline of heuristic and stochastic algorithms
• Understand exploratory data analysis for product feasibility studies and ground truth testing
• Execute SQL queries and / or python scripts to manipulate, analyze and visualize data
• Able to implement explainable AI solutions and rationalize model inferences
• Follows SDLC processes, Adopt agile-based processes / meetings and peer code-reviews
• Works with Machine learning engineer / architect to deploy data products into production
• Follows and understands legal data use restrictions
• Contributes to algorithm library development and design for ML, NLP and XAI
• Delivers product pipelines for deployment to production
• Builds applications that integrate third party and self-hosted foundation models.
• Fine tunes open source foundation models (LLMs, VLMs) with proprietary data
• Develops autonomous AI inference and tool use orchestration using ReAct AI agents
• Provides root cause analysis for machine learning model inference
• Completes data analysis or processing tasks as directed
• Documents data product end to end design and development
• Data annotation, labeling and other related data generation activities
• Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members
• Presents and holds data product updates and trainings Updates team on data product performance Education & Experience BS in Statistics, Mathematics, Computer Science or another quantitative field with at least 6 years experience manipulating data sets and building GLM / regression models, ensemble decision trees and neural networks. Graduate degree preferred.

Key Qualifications

Preferred