Remote Junior Data Scientist: AI/ML Product Solutions

DataJobs; United States; Remote; USD 85,000 - 102,000; Full time

Benefits offered by this job

Medical

Dental

Vision

HSAs/FSAs

Life and AD&D Insurance

401(k)

Tuition Reimbursement

Job summary

Enlyte is seeking a Junior Data Scientist for a fully remote role in the United States. You will identify AI/ML opportunities, design prompts for LLM-based features, and build, evaluate, and deploy models across products.

You will collaborate with product managers and engineers to translate business needs into production-ready ML systems, applying fundamentals in ML, data engineering, and feature engineering while communicating results to diverse audiences.

Qualifications

• MS or PhD in Math, Statistics, Computer Science, or a related field.
• 2+ years of experience building, deploying, and maintaining ML models in production.
• Hands-on experience with data warehouses, feature engineering, ML pipeline automation, and model monitoring.
• Solid knowledge of ML algorithms and techniques, with the ability to explain core concepts clearly.
• High proficiency in Python and SQL.
• Good understanding of data warehousing and ETL processes.
• Strong written and verbal communication skills.
• Nice to have: Experience with AWS SageMaker.

Responsibilities

• Identify AI/ML opportunities across products and support implementation efforts.
• Design and test prompts for LLM-based generative AI features.
• Build, evaluate, and deploy machine learning models in production.
• Work with product managers, engineers, and domain experts to solve business problems with ML.
• Follow and contribute to best practices for ML pipelines, model monitoring, and deployment.
• Present findings clearly to technical and non-technical audiences.

Skills

Python

SQL

ML in production

Feature engineering

Model monitoring

Communication

Education

MS or PhD in Math/Statistics/CS

Tools

AWS SageMaker

Job description

Enlyte is seeking a Junior Data Scientist for a fully remote role in the United States. You will identify AI/ML opportunities, design prompts for LLM-based features, and build, evaluate, and deploy models across products.

You will collaborate with product managers and engineers to translate business needs into production-ready ML systems, applying fundamentals in ML, data engineering, and feature engineering while communicating results to diverse audiences.