Data Scientist at Stackline in Seattle, WA

Summary: Stackline is a full-funnel connected commerce platform for innovative brands, seeking a Data Scientist to develop Machine Learning solutions. The role involves analyzing vast data pipelines, collaborating with cross-functional teams, and implementing innovative models to drive growth in new company domains. Responsibilities: - 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 Required Qualifications: - 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) Preferred Qualifications: - 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 Required Skills: Large Language Models, Large Multimodal Models, Machine Learning, Statistics, Probability, Algorithm Development, Data Analytics, Python, SQL, TensorFlow, PyTorch, Spark ML, Distributed Version Control, Git Benefits: Comprehensive benefits plan covering medical, dental, and vision, Fertility benefits, Company 401k plan plus matching, Company paid Life Insurance, 20 days of Paid Time Off annually, 9 Paid company holidays, 100% Paid Parental leave - 20 weeks for birthing mothers and 12 weeks for all other parents, Summer Fridays early close at 3pm, Fully stocked kitchen snacks with weekly fresh fruit