Remote Junior Data Scientist - AI/ML & LLMs

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

Benefits offered by this job

Medical, Dental, Vision

401(k)

Tuition Reimbursement

Job summary

Enlyte is seeking a Junior Data Scientist for a fully remote role in the United States. You will collaborate with product managers and engineers to translate business problems into ML solutions, including prompts for generative AI and LLMs.

Requires MS or PhD in math, statistics, CS, with 2 years (MS) or 1+ years (PhD) of ML experience, plus strong Python and SQL skills and experience building production ML pipelines.

Qualifications

• MS or PhD in Math, Statistics, Computer Science, or a related field.
• + MS: 2 years of professional ML experience
• + PhD: 1+ years of professional ML experience
• 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.

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.
• Partner 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 both technical and non-technical audiences.

Skills

ML methodologies

Python

SQL

Data engineering

Feature engineering

Model monitoring

Education

MS in Math/Statistics/CS

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 collaborate with product managers and engineers to translate business problems into ML solutions, including prompts for generative AI and LLMs.

Requires MS or PhD in math, statistics, CS, with 2 years (MS) or 1+ years (PhD) of ML experience, plus strong Python and SQL skills and experience building production ML pipelines.