Bachelor's degree in Computer Science or related field, or equivalent experience.
3 years of experience as a Data Science Engineer with Python and Databricks.
Proficiency in building ML models and data pipelines using Spark on Databricks.
Experience with Python for data analysis, modeling, and pipeline development.
Strong understanding of data science and ML integration in distributed systems.
Responsibilities
Develop data science solutions using Python and Databricks for analytics and ML workflows.
Build and optimize Spark-based data pipelines to support ML model training.
Collaborate with data scientists to implement and deploy ML models in production.
Analyze large datasets to extract actionable insights using Python and Spark tools.
Ensure scalability and performance of data science workflows on Databricks clusters.
Monitor and refine ML solutions to maintain accuracy and efficiency over time.
Benefits
Competitive healthcare and PTO plans.
Comprehensive 401k options.
Opportunities for professional growth and upskilling in AI and cloud technologies.
Full Job Description
Overview:
Data Science Engineer (Python & Databricks)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Data Science Engineer to leverage Python and Databricks for building machine learning solutions. This role focuses on developing data-driven insights and models within a scalable Spark environment.
Key Responsibilities
Develop data science solutions using Python and Databricks for analytics and ML workflows.
Build and optimize Spark-based data pipelines to support machine learning model training.
Collaborate with data scientists to implement and deploy ML models in production.
Analyze large datasets to extract actionable insights using Python and Spark tools.
Ensure scalability and performance of data science workflows on Databricks clusters.
Monitor and refine ML solutions to maintain accuracy and efficiency over time.
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
3 years of experience as a Data Science Engineer with Python and Databricks.
Proficiency in building ML models and data pipelines using Spark on Databricks.
Experience with Python for data analysis, modeling, and pipeline development.
Strong understanding of data science and machine learning integration in distributed systems.
Preferred Qualifications
Familiarity with advanced Databricks features like Delta Lake or MLflow for ML workflows.
Exposure to cloud platforms like AWS or Azure for hosting Databricks environments.
Knowledge of statistical modeling or deep learning frameworks like TensorFlow.
Compensation & Benefits
Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
Opportunities for professional growth and upskilling in AI and cloud technologies.
Skills:
Data Science Engineer, Python, Databricks, Spark, Machine Learning
