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Full-Time

Data Scientist

LLM

Confirmed live in the last 24 hours

Stackline

Stackline

201-500 employees

Shopper management and analytics platform

Data & Analytics

Compensation Overview

$160k - $180kAnnually

+ Annual Bonuses + Short- and Long-Term Incentives

Senior, Expert

Seattle, WA, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Git
Apache Spark
SQL
Data Analysis
Requirements
  • Masters in Mathematics, Physics, Computer Science, Engineering, or another technical field
  • 3+ years of direct industry work experience in data science, data analytics, or data engineering
  • 3+ years of experience with Machine Learning, statistics, probability, algorithm development, and data analytics
  • Hands-on experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs)
  • Strong proficiency with Python and SQL
  • Experience deploying solutions at scale after prototyping
  • Experience with Machine Learning tools such as Tensorflow, PyTorch, Spark ML, or related frameworks
  • Experience with distributed version control (e.g., git)
Responsibilities
  • Develop, test, and deploy Large Language Models or Large Multimodal Models across multiple company products
  • Create innovative Machine Learning pipelines and collaborate with leadership and stakeholders to test and validate data outputs
  • Provide prompt and accurate responses to inquiries about datasets and models
  • Process complex datasets, establish quality control procedures, and derive actionable insights
  • Utilize data to extract insights and devise innovative strategies, offer actionable recommendations to stakeholders
  • Collaborate with teams to identify opportunities requiring modern data science and Machine Learning techniques
  • Design and implement innovative models and experiments using cutting-edge methods
  • Document data sources and processes for data analysis and modeling

Stackline's main product is Shopper OS, a shopper journey management solution that offers multi-retailer CRM, ratings and reviews, rewards and loyalty, surveys, messaging, universal stores, affiliate and influencer tools, and shopper analytics. The platform utilizes proprietary neural networks and deep learning systems to provide market insights, revenue metrics, and behavioral data for over 7,000 global brands.

Company Stage

Series B

Total Funding

$180M

Headquarters

Seattle, Washington

Founded

2014

Growth & Insights
Headcount

6 month growth

2%

1 year growth

10%

2 year growth

9%

Benefits

Competitive Salaries

Insurance

Catered Lunches

Paid Parental Leave

Snack Stocked Kitchen

Fun Downtown Location

Stock Options

Vacation and Flex Time

Summer Fridays

401K Retirement Plan