Stackline
Seattle, Washington, USA

Data Scientist I

Hybrid$140,000 – $160,000/yrPosted Nov 25, 2025WebsiteLinkedIn

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About this role

About The Role:

Ready to embark on your next big adventure? Are you experienced with Large Language Models or Large Multimodal Models? Join us as a Data Scientist at Stackline where you will thrive in our dynamic, team-oriented atmosphere, contributing your skills to develop practical Machine Learning solutions. This role involves delving into vast data pipelines, analyzing over a billion data points each week, and collaborating closely with Data Engineers, Software Engineers, and Product Management team. This hands-on analytical position requires not only your coding expertise, but also your dedication to architecting, developing, and testing innovative models that make a tangible difference. If you’re ready to make a meaningful impact, apply now to be part of our exciting journey! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.

What You Will Do:

  • Develop, test, and deploy Large Language Models or Large Multimodal Models across multiple company products.
  • Independently create innovative Machine Learning pipelines and collaborate with leadership and stakeholders to test and validate data outputs.
  • Provide prompt and accurate responses to both internal and external inquiries about our datasets and models.
  • Apply technical proficiency to process complex and intricate datasets, establish quality control procedures, and derive actionable insights.
  • Utilize data effectively to extract insights and devise innovative strategies, offering actionable recommendations to stakeholders in data science, engineering, and product teams.
  • Collaborate with cross-functional teams to identify new opportunities requiring the application of modern data science and Machine Learning techniques.
  • Design and implement innovative models and experiments using cutting edge analytical, mathematical, and machine learning methods to drive growth in new company domains.
  • Document data sources and processes for data analysis and modeling.