
About Stackline
The eCommerce platform brands trust for growth
Key Highlights
- Headquartered in Seattle, WA with offices in NYC, Minneapolis, and London
- $180 million raised in Series A funding
- 201-500 employees focused on eCommerce and analytics
- Serves major clients including HP
Stackline is a Seattle-based eCommerce platform that provides brands with a full suite of business intelligence, operational, loyalty program, and advertising tools to enhance online product sales. With $180 million in funding, Stackline serves notable clients such as HP and has grown to employ betw...
🎁 Benefits
Stackline offers a comprehensive benefits package, including best-in-class health, dental, and vision insurance, 20 days of PTO, 401K with a 4% employ...
🌟 Culture
Stackline's culture is rooted in its evolution from an advertising consultancy to a data-driven eCommerce platform, emphasizing the importance of anal...
Skills & Technologies
Overview
Stackline is hiring a Data Scientist I to develop practical Machine Learning solutions and analyze vast data pipelines. You'll work with technologies related to data analysis and machine learning in Seattle, with a hybrid work model.
Job Description
Who you are
You are an entry-level Data Scientist with a strong foundation in machine learning and data analysis. You have experience working with large datasets and are familiar with large language models or large multimodal models. Your coding expertise allows you to architect, develop, and test innovative models that can make a tangible difference in business outcomes.
You thrive in a collaborative environment, working closely with Data Engineers, Software Engineers, and Product Management teams. Your analytical mindset enables you to delve into vast data pipelines, analyzing over a billion data points each week. You are eager to contribute your skills to a team-oriented atmosphere and are excited about the opportunity to make a meaningful impact.
What you'll do
As a Data Scientist I at Stackline, you will be responsible for developing practical machine learning solutions that drive business insights. You will analyze large datasets and collaborate with cross-functional teams to create models that enhance the company's commerce platform. Your role will involve coding, testing, and refining models to ensure they meet the needs of the business and its clients.
You will work on projects that require a deep understanding of data analysis techniques and machine learning algorithms. Your contributions will help shape the future of commerce by providing actionable insights and improving the overall performance of the platform. You will also have the opportunity to learn from experienced professionals in the field and grow your skills in a supportive environment.
What we offer
Stackline offers a hybrid work model, allowing you to work in the office four days a week while also providing flexibility. You will be part of a diverse team that values innovation and collaboration. The company is committed to creating an inclusive environment where all employees can thrive and contribute to the mission of bringing brands and customers closer together.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Stackline.
Similar Jobs You Might Like
Based on your interests and this role

Data Scientist
Oscar is hiring a Data Scientist I to join their Data team, focusing on developing data pipelines and analytical models. You'll work with SQL and Python to tackle real-world data problems in healthcare.

Data Scientist
GumGum is hiring a Data Scientist I to support the development and deployment of AI-powered solutions in digital advertising. You'll work with Machine Learning and statistical analysis to improve ad-serving performance. This position is ideal for candidates eager to work with large datasets and contribute to production ML systems.

Data Scientist
Oscar is hiring a Data Scientist I to join their Data team, focusing on developing data pipelines and analytical models to enhance business decision-making. You'll work with complex healthcare data and contribute to real-world data problems. This role is ideal for early-career data scientists.

Data Scientist
Opendoor is seeking a Data Scientist to drive pricing strategies in residential real estate. You'll leverage data to build predictive models and dashboards, collaborating closely with cross-functional teams. This role requires strong statistical reasoning and experience in machine learning.

Data Scientist
Esri is hiring a Data Scientist I to develop data-driven solutions that integrate with GIS workflows. You'll leverage machine learning and AI to solve customer challenges in St. Louis. This position is ideal for those with a passion for location intelligence.