Data Scientist

Ethereum Technologies; Fort Worth (TX); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python programming

Machine Learning

Statistical analysis

Data engineering

SQL

Databricks

Spark

Herramientas

Python libraries

Descripción del empleo

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are looking for an experienced Data Scientist with strong expertise in Python programming, Machine Learning, statistical analysis, and data engineering. The ideal candidate should have hands-on experience developing, deploying, and optimizing machine learning models in production environments.

Key Responsibilities

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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.