Title Data Science Engineer
Location Boston MA 4x hybrid per week
Duration 12 month
Interview mode - Mandatory final onsite interview
About the job
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.
Title Data Science Engineer Location Boston MA 4x hybrid per week Duration 12 month Interview mode - Mandatory final onsite interview About the job We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solu...
Title Data Science Engineer
Location Boston MA 4x hybrid per week
Duration 12 month
Interview mode - Mandatory final onsite interview
About the job
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.
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