AI Evaluation Scientist — ML Experiments & Dashboards

Zywave; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

A technology company is looking for a Data Scientist to work in their AI Engineering and Data Science team. The role involves implementing evaluation pipelines, analyzing data, and maintaining machine learning models. Candidates should have a strong foundation in statistics, machine learning skills, and proficiency in Python and SQL. The position requires self-motivation and effective communication skills to report findings to stakeholders. This opportunity allows for impactful work in AI and machine learning projects.

Qualifications

• Strong foundation in statistics and experimental design.
• Hands-on experience with machine learning fundamentals.
• Proficiency in Python and the data science stack.
• Strong SQL skills with relational databases.

Responsibilities

• Implement evaluation pipelines for AI models.
• Execute benchmark tests and collect performance metrics.
• Build and maintain classical machine learning models.
• Develop and maintain dashboards tracking model performance.

Skills

Statistical analysis

Machine learning fundamentals

Python

SQL

Data pipelines

Analytical skills

Communication skills

Tools

pandas

scikit-learn

NumPy

matplotlib/seaborn

Git

Job description

A technology company is looking for a Data Scientist to work in their AI Engineering and Data Science team. The role involves implementing evaluation pipelines, analyzing data, and maintaining machine learning models. Candidates should have a strong foundation in statistics, machine learning skills, and proficiency in Python and SQL. The position requires self-motivation and effective communication skills to report findings to stakeholders. This opportunity allows for impactful work in AI and machine learning projects.