Job Title: Sr. Data Scientist – AI/ML Engineering

Location: REMOTE in EST/CST

Salary/Payrate: $200K

Work Environment: Remote

Term: Contract to Hire

Bachelor’s degree required: Yes

Referral Fee: AMS will pay $1K

Job Description:

In a highly regulated, large-scale engineering and manufacturing environment supporting complex, mission-critical programs where security, legacy systems, and modernization efforts must coexist, is seeking a Senior Data Scientist to drive development of enterprise AI/ML models that support operational decision-making, predictive insights, and automation initiatives. This role will work closely with data architecture, application delivery, and business teams to transform complex datasets into production-ready models that deliver measurable value.

Key Responsibilities

• Translate business problems into scalable data science solutions
• Utilize data science, management, and governance principles to implement technical solutions supporting an enterprise data platform
• Support automation initiatives and advanced analytics capabilities across enterprise platforms
• Design, develop, and deploy enterprise AI/ML models supporting operational analytics and predictive insights
• Work with large-scale structured and unstructured datasets to extract meaningful patterns and opportunities
• Collaborate with data engineers and architects to operationalize models in production environments

Required Qualifications

• AWS Experience, Gov Cloud Experience
• Expertise in Postgres
• Experience in regulated or high-security environments
• Advanced experience building and deploying AI/ML models in enterprise environments
• Strong background in statistical modeling, predictive analytics, and exploratory data analysis
• Experience working with large and complex datasets
• Proficiency with Python, R, and common machine learning frameworks
• Ability to translate business challenges into analytical and data science solutions
• Exposure to MLOps, model lifecycle management, and production deployment
• Familiarity with enterprise data platforms such as Azure, Databricks, or Snowflake
• Experience supporting AI enablement or automation initiatives

Desired Qualifications

• Deep Experience with Open FGA and/or Open Metadata
• Deep Experience with Data Normalization, Rationalization, and Imputation