Data Scientist I at Stackline

Seattle, Washington, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, E-commerceIndustries

Requirements

PhD in Mathematics, Physics, Computer Science, Engineering, or another technical field
1+ years of direct industry work experience in 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)

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 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

Key technologies and capabilities for this role

Large Language ModelsLarge Multimodal ModelsMachine LearningData PipelinesPythonModel DevelopmentModel TestingModel Deployment

Questions & Answers

Common questions about this position

Is this a remote role or does it require office presence?

This is a hybrid role requiring 4 days per week in the Seattle, WA office.

What education and experience are required for this Data Scientist position?

Candidates need a PhD in Mathematics, Physics, Computer Science, Engineering, or another technical field, plus 1+ years of direct industry experience in data science, data analytics, or data engineering.

What key skills are needed for this role?

Experience with Large Language Models or Large Multimodal Models is essential, along with skills in developing Machine Learning pipelines, processing complex datasets, and collaborating with cross-functional teams.

What is the work environment like at Stackline?

The role offers a dynamic, team-oriented atmosphere where you'll collaborate closely with Data Engineers, Software Engineers, and Product Management.

What makes a strong candidate for this Data Scientist I role?

A strong candidate holds a PhD in a technical field, has 1+ years of industry experience in data science or related areas, and brings hands-on expertise with Large Language Models, Machine Learning pipelines, and cross-functional collaboration.

Stackline

Retail performance tools and insights provider

About Stackline

Stackline offers tools and services to improve retail performance for brands in the retail and e-commerce sector. Its platform provides insights into the retail and shopper ecosystem, enabling brands to connect with customers and measure their performance across various channels. The company stands out by offering comprehensive advertising solutions on major retail media platforms and tools for managing customer data and engagement. Stackline's goal is to empower brands with the insights and capabilities needed to enhance their retail strategies.

Seattle, WashingtonHeadquarters

2014Year Founded

$175.1MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Consumer Software, Consumer GoodsIndustries

201-500Employees

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

Risks

Increased competition from platforms like Profitero and Jungle Scout.

Potential over-reliance on Amazon as a key partner.

Rapid technological advancements could render solutions outdated without continuous innovation.

Differentiation

Stackline offers a full-funnel connected commerce platform for innovative brands.

Its proprietary neural networks provide transformational omnichannel insights and advertising performance.

Stackline's Multi-retailer CRM manages customer data across various channels for brands.

Upsides

Partnership with Amazon enhances retail media investment insights for brands.

Ranked #2 in G2's Best Global Commerce Software, indicating strong market position.

$130 million investment from TA Associates supports innovation and expansion.

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