Data Scientist

Robotic Process Automation LLC; Fort Worth (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Robotic Technologies Automation in Fort Worth, TX is seeking an experienced Data Scientist to design and deploy ML models and data pipelines. The role focuses on Python-based development, feature engineering and scalable data solutions in production environments.

You will collaborate with cross-functional teams, work with large datasets (SQL, Databricks, Spark) and contribute to data-driven decision making while ensuring model monitoring and automation.

Qualifications

• Strong Python programming and ML model development.
• Experience with data extraction, cleaning and feature engineering.
• Experience deploying ML models to production environments.
• Proficient with SQL, Databricks and Spark for large datasets.

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

Tools

SQL

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.