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