ML Data Analyst: Build Reliable Data Pipelines for ML

Incode; United States; Remote; USD 70,000 - 120,000; Full time

Job summary

Incode is seeking a Machine Learning Data Analyst to enhance data quality and build automated pipelines for ML models in identity verification. The role focuses on ensuring reliable data for model performance and scalable data workflows.

You will collaborate with ML engineers and product stakeholders to automate evaluation metrics, establish data quality standards, and create dashboards that track model effectiveness across verification scenarios.

Qualifications

• Proficient in SQL and Python for data analysis and pipeline development.
• Experience with data quality frameworks and data governance is a plus.

Responsibilities

• Establish data quality standards and monitor data integrity across pipelines.
• Automate evaluation metrics for ML models and track performance.
• Build and maintain dashboards to monitor data and model performance.
• Collaborate with ML engineers and product stakeholders to prioritize data tasks.

Skills

SQL

Python

Data infrastructure

Job description

Incode is seeking a Machine Learning Data Analyst to enhance data quality and build automated pipelines for ML models in identity verification. The role focuses on ensuring reliable data for model performance and scalable data workflows.

You will collaborate with ML engineers and product stakeholders to automate evaluation metrics, establish data quality standards, and create dashboards that track model effectiveness across verification scenarios.