Senior Data Scientist - ML, Python, Production Pipelines

Robotics Technologies LLC

Fort Worth (TX)

On-site

USD 110,000 - 170,000

Full time

23 hours ago
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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

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

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