Data Scientist

Robotics Technologies; Fort Worth (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Robotics Technologies LLC in Fort Worth, Texas seeks an experienced Data Scientist with strong Python, ML, and data engineering skills to deliver production-ready models. You will develop models, build end-to-end ML pipelines, perform feature engineering and statistical analysis, and deploy, monitor, and optimize models at scale.

Experience with SQL, Databricks, and Spark is expected. We are an equal opportunity employer and value merit, competence, and performance in a diverse, inclusive

Qualifications

• Strong Python and ML modeling experience.
• Hands-on production ML deployment and monitoring.
• Proficiency with SQL, Databricks, Spark.
• Experience with data cleaning and feature engineering.

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 programming

Machine Learning

Statistical analysis

Data engineering

Feature engineering

ML deployment

End-to-end pipelines

SQL

Databricks

Spark

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.