Data Science Engineer (Boston)

This is a 12+ month, ongoing contract with our insurance client in Boston, MA 4x hybrid per week with a mandatory final onsite interview.

We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as A WS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M / L).

Overview : As a Data Science Engineer, you will play a crucial role in designing, building, and optimizing data pipelines, machine learning models, and analytics solutions. You will work closely with cross-functional teams to extract actionable insights from data and drive business outcomes.

• Develop and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources.
• Utilize Python and Spark for data preprocessing, feature engineering, and model development.
• Design and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data.
• Leverage SageMaker for model training, evaluation, deployment, and monitoring in production environments.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements, develop predictive models, and generate actionable insights.
• Conduct exploratory data analysis (EDA) and data visualization to communicate findings and trends effectively.
• Stay updated with advancements in machine learning algorithms, techniques, and best practices to enhance model performance and accuracy.
• Ensure data quality, integrity, and security throughout the data lifecycle by implementing robust data governance and compliance measures.