Data Scientist- AI/ML

Location: 100% Telework

Years’ Experience: 7+ years professional experience

Education: Bachelor degree in IT related field

Clearance: Applicants must be able to obtain and maintain up to a Public Trust clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance.

Key Skills:

• Experience developing production AI/ML applications in AWS.
• Expertise with Python using TensorFlow, NumPy, SciPy, Scikit-Learn, and/or Keras.
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
• Experience with AWS environment, and CI/CD pipelines a bonus.

Responsibilities

• Responsible for the development of production enterprise applications hosted on AWS and Databricks.
• Analyze complex datasets and algorithms to assess performance or find new patterns and apply machine learning techniques to data sets related to the federal government.
• Assist in architecture design, technical support, and advisement services to ensure identity management system technologies are integrated and meet the appropriate security requirements.
• Organize large amounts of data while executing tests and optimizing ML systems and algorithms.
• Implement web services, data persistence access features, and external interfaces.
• Perform related duties as assigned.

Qualifications

• 7+ years of IT experience focusing on enterprise data architecture and management.
• Bachelor’s degree in IT-related field (computer science, mathematics, statistics, and data science).
• Must be able to obtain a Public Trust security clearance.
• Experience in Conceptual/Logical/Physical Data Modeling & expertise in Relational and Dimensional Data Modeling & Data Reconciliation.
• Expertise with Python using TensorFlow, NumPy, SciPy, Scikit-Learn, and/or Keras.
• Databricks experience a bonus.
• Apache Spark experience a bonus.
• Experience with Identity/Entity Resolutions a bonus.
• Experience in graph analytics and network analysis a bonus.
• Experience creating AI/ML and data processing solutions in AWS (i.e. EC2, S3, Lambda, Databricks, etc.).
• Ability to analyze and organize large amounts of data while executing tests and optimizing ML systems and algorithms.
• Experience with the development of Microservices Architecture and deploying to AWS.
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design, Postgres performance optimization).
• Experience with AWS CI/CD pipelines (Jenkins, Cloud Formation, Terraform) a bonus.
• Experience with Kinesis and/or Kafka a bonus.
• Identifying differences in data distribution that affect modeling performance and verify data quality.
• Ability to continuously learn and stay up to date on new trends and technologies in AI and ML.