Data Scientist

• Design, build, and deploy scalable data pipelines using Databricks and PySpark.
• Design and implement machine learning models with Python libraries (e.g., Scikit-learn, TensorFlow).
• Partner with cross-functional teams to define problems and deliver data-driven solutions.
• Perform data cleansing and feature engineering to ensure accuracy and consistency.
• Document technical processes for pipelines, models, and workflows.
• Collaborate with stakeholders to prioritize data science initiatives.
• Create data visualizations and dashboards to communicate insights effectively.
• Stay current with emerging trends in data science, AI, and machine learning.
• Work alongside data engineers to uphold data quality standards.
• Participate in code reviews and help establish best practices for data science.

Senior Data Scientist, Databricks, PySpark, SQL

Junior Data Scientist

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist