Stackline · 10 hours ago
Data Scientist I
Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. As a Data Scientist, you will develop and deploy machine learning models, analyze vast datasets, and collaborate with cross-functional teams to drive innovative solutions.
AnalyticsE-CommerceMachine LearningRetail TechnologySoftware
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
Qualification
Required
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
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
Stackline
Stackline is a retail intelligence and software company that provides tools, data, and services for e-commerce.
H1B Sponsorship
Stackline has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (8)
2023 (10)
2022 (18)
2021 (14)
2020 (4)
Funding
Current Stage
Growth StageTotal Funding
$180MKey Investors
TA AssociatesGoldman Sachs Growth Equity
2021-06-08Series B· $130M
2020-11-19Series A· $50M
Recent News
Seattle TechFlash
2025-04-26
Company data provided by crunchbase