Data Scientist Architect

JAGGAER, LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A tech company is looking for an Architect, Data Scientist for their Data & AI Team. You will be responsible for optimizing data ingestion and featurestore pipelines, prototyping and training models, and integrating AI-driven insights into applications. Candidates must have 10+ years of experience in data engineering, proficiency in Python and SQL, and strong skills in statistical modeling. This position allows for remote work in North America.

Qualifications

• 10+ years of experience in designing and deploying production-grade ML or data engineering solutions.
• Deep experience in enterprise platforms.
• Strong grounding in statistical modeling and ML evaluation metrics.

Responsibilities

• Architect and optimize data ingestion, ETL/ELT, and featurestore pipelines.
• Prototype, train, and evaluate predictive and generative models.
• Own CI/CD, monitoring, and scalable inference for ML and LLM pipelines.

Skills

Python

SQL

Statistical modeling

Data engineering

CI/CD

Docker

Education

Bachelor's or Master's in Computer Science, Statistics, Math, or Data Science

Tools

OpenSearch

Snowflake

Linux

Job description

A company is looking for an Architect, Data Scientist for their Data & AI Team (North America Remote).

Key Responsibilities

• Architect and optimize data ingestion, ETL/ELT, and featurestore pipelines
• Prototype, train, and evaluate predictive and generative models while implementing experimentation pipelines
• Own CI/CD, monitoring, and scalable inference for ML and LLM pipelines, and integrate AI-driven insights into applications

Required Qualifications

• Bachelor's or Master's in Computer Science, Statistics, Math, or Data Science
• 10+ years of experience in designing and deploying production-grade ML or data engineering solutions
• Proficiency in Python and SQL, with deep experience in enterprise platforms like OpenSearch and Snowflake
• Strong grounding in statistical modeling and ML evaluation metrics
• Fluency with Linux, Git, CI/CD, Docker, and orchestration frameworks