Data Scientist

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 the 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.

• →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.

• PhD in Mathematics, Physics, Computer Science, Engineering, or another technical field.
• 1+ years of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
• 1+ years of experience with Machine Learning, statistics and probability, algorithm development, and data analytics.
• Hands on experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs).
• Strong proficiency with programming and querying languages like Python and SQL.
• Experience deploying solutions at scale after prototyping.
• Demonstrated experience in Machine Learning tools such as Tensorflow, PyTorch, Spark ML, or related frameworks.
• Experience with distributed version control (e.g. git)..

• Prior experience with big data technologies such as Hadoop or Spark.
• Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation.
• Experience working in a startup, retail, digital advertising, or e-commerce environment.