What are the responsibilities and job description for the Data Science Engineer position at TPA technologies?
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 AWS 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.