Data Scientist [Multiple Positions Available]

JPMorganChase • Plano, TX

16h • Onsite

About The Position

We are seeking Data Scientists to design and develop machine learning solutions for security platforms. This role involves designing, developing, and deploying models to enforce least privilege access principles, analyzing model performance, and implementing improvements. You will process large datasets for exploration, standardization, cleansing, and feature engineering, and manage machine learning operations and model deployment for prediction services. Ensuring applications meet security and compliance requirements, and implementing infrastructure as code for data science workloads are also key responsibilities. Additionally, you will identify and resolve application vulnerabilities and maintain compliance standards.

Requirements

• Master's degree in Applied Computer Science, Computer Science, Data Science, or related field plus 3 years of experience in the job offered or as Data Scientist, Software Engineer, or related occupation.
• Bachelor's degree in Applied Computer Science, Computer Science, Data Science, or related field plus 5 years of experience in the job offered or as Data Scientist, Software Engineer, or related occupation.
• Performing data exploration, transformation, aggregation, statistical analysis, and data cleansing using Python, Jupyter Notebook, SQL, pandas, and PySpark.
• Designing and developing data science models using Python and machine learning libraries, including Scikit-learn, TensorFlow, including PyTorch.
• Performing data science development using AWS cloud-based tools, including S3, SageMaker, and EMR.
• Performing machine learning operations and deploying models to production using CI/CD tools such as Jenkins and AWS services such as SageMaker.
• Implementing infrastructure as code using Terraform to create AWS resources, including S3 and EMR.
• Developing RESTful APIs using FastAPI or Flask to serve data science models.

Responsibilities

• Design and develop machine learning solutions for security platforms.
• Design, develop, and deploy models to enforce least privilege access principles.
• Analyze model performance and implement incremental prediction improvements based on feedback.
• Process large datasets for exploration, standardization, cleansing, and feature engineering.
• Perform machine learning operations and deploy models to production for prediction services.
• Ensure applications meet security and compliance requirements.
• Implement infrastructure as code and manage infrastructure deployment for data science workloads.
• Identify and resolve application vulnerabilities and maintain compliance standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level