Data Scientist: LLM & ML Platform Innovator

Stackline; Seattle (WA); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401k matching

Life insurance

Paid time off

Holidays

Parental leave

Summer Fridays

Job summary

Stackline, a Seattle-based data platform, is seeking a Data Scientist to advance ML solutions across our products. You will work on large-scale datasets, build models, and collaborate with data engineers, software engineers, and product managers to deliver measurable impact.

The role emphasizes hands-on development of ML systems, experimentation, and production deployment while maintaining robust data pipelines and clear documentation. Join us to drive the future of commerce.

Qualifications

• Masters in Mathematics, Physics, CS, Engineering, or a related technical field.
• 3+ years in data science, data analytics, or data engineering.
• 3+ years in ML, statistics, probability, and algorithm development.
• Hands-on with LLMs or LMMs and scalable deployments.

Responsibilities

• Develop, test, and deploy LLMs or LMMs across products.
• Create ML pipelines and collaborate with leadership to validate outputs.
• Provide prompt and accurate responses about datasets and models.
• Process complex datasets, establish QC, derive actionable insights.
• Extract insights to guide stakeholders in data science, engineering, and product.
• Collaborate with cross-functional teams to identify opportunities for ML adoption.
• Design experiments using modern ML methods to drive growth.
• Document data sources and modeling processes.

Skills

Data Science

Python

SQL

Machine Learning

Big Data

LLMs/LMMs

Education

Master's degree in a technical field

Tools

TensorFlow

PyTorch

Spark ML

Git

Job description

Stackline, a Seattle-based data platform, is seeking a Data Scientist to advance ML solutions across our products. You will work on large-scale datasets, build models, and collaborate with data engineers, software engineers, and product managers to deliver measurable impact.

The role emphasizes hands-on development of ML systems, experimentation, and production deployment while maintaining robust data pipelines and clear documentation. Join us to drive the future of commerce.