Data Scientist: ML Pipelines in Production

Ethereum Technologies; Fort Worth (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Ethereum Technologies in the United States is seeking an experienced Data Scientist capable of delivering production-ready ML solutions. The role emphasizes building, deploying, and optimizing models, with hands-on data engineering and pipelines across SQL, Databricks, and Spark.

The ideal candidate will handle data extraction, cleaning, feature engineering, and model monitoring while collaborating with cross-functional teams to drive data-driven decisions. Equal opportunity employer.

Qualifications

• Hands-on experience building and deploying ML models in production.
• Strong Python programming, data cleaning, and feature engineering.
• Experience with large datasets and data pipelines.

Responsibilities

• Develop and implement ML models and algorithms.
• Perform data extraction, cleaning, transformation, and analysis.
• Build and maintain end-to-end ML pipelines.
• Develop production-ready applications using Python.
• Deploy, monitor, and optimize ML models.
• Work with SQL, Databricks, and Spark for large datasets.
• Implement ML automation and model monitoring processes.
• Collaborate with cross-functional teams to deliver data-driven solutions.

Skills

Python programming

Machine Learning

Statistical analysis

Data engineering

SQL

Databricks

Spark

Tools

Python libraries

Job description

Ethereum Technologies in the United States is seeking an experienced Data Scientist capable of delivering production-ready ML solutions. The role emphasizes building, deploying, and optimizing models, with hands-on data engineering and pipelines across SQL, Databricks, and Spark.

The ideal candidate will handle data extraction, cleaning, feature engineering, and model monitoring while collaborating with cross-functional teams to drive data-driven decisions. Equal opportunity employer.