Data Scientist

Valiant Technologies LLC; Fort Worth (TX); On-site; USD 99,000 - 121,000; Full time

Job summary

Valiant Technologies LLC in Fort Worth, TX is seeking an experienced Data Scientist with strong Python, ML, and data engineering skills to build production‑ready models and scalable data solutions. You will develop, deploy, and monitor ML models, perform data extraction, cleaning, and feature engineering, and collaborate with cross‑functional teams to deliver data‑driven outcomes.

Experience with SQL, Databricks, Spark, and end‑to‑end ML pipelines is highly valued.

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.

Skills

Python

Machine Learning

Statistical Analysis

Data Engineering

SQL

Tools

Databricks

Spark

Job description

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.