Overview:Data Science Engineer (Python & Databricks)Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role OverviewWe 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
