Data Scientist

Stackline is a connected commerce platform for innovative brands, seeking a Data Scientist to develop Machine Learning solutions. The role involves analyzing large datasets, collaborating with cross-functional teams, and creating innovative models to drive growth.

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

Skills

• 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

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

Company Overview

Company H1B Sponsorship