Senior Applied AI Engineer – Data Science & Analytics with Security Clearance

Neural Solutions; Columbia (MD); On-site; USD 204,000 - 247,000; Full time

Job summary

Neural Solutions in Columbia, MD seeks a Senior Applied AI Engineer specializing in Data Science & Analytics to build AI-enabled analytical tools that transform large datasets into actionable mission insights.

You will design analytics apps in Python, perform EDA, feature engineering, ML on mission data, and collaborate with customers to solve analytical problems in a fast-moving environment.

Qualifications

• 12 years of related experience with a technical bachelor's degree.
• Experience designing AI-enabled analytics tools and data pipelines.
• Strong Python programming and software engineering practices.
• Experience communicating with technical and non-technical stakeholders.

Responsibilities

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices.
• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.

Skills

Python

Data science

Machine learning

Pandas

NumPy

Scikit-learn

SQL

Elasticsearch

Communication

Customer collaboration

Education

Bachelor's degree in a technical discipline

12 years experience with Bachelor's degree

Tools

Elasticsearch

Job description

Join a fast-moving AI team focused on delivering mission-critical AI capabilities that enable analysts and operators to make better, faster decisions. As a Senior Applied AI Engineer specializing in Data Science & Analytics, you will develop AI-enabled analytical tools that transform large and complex datasets into actionable mission insights.

Responsibilities

• Design and develop AI-enabled analytics applications using Python and modern software engineering practices.
• Perform exploratory data analysis, feature engineering, statistical analysis, and machine learning on mission datasets.

Required Skills

• Experience developing production software using Python.
• Experience with data science, machine learning, or statistical analysis.
• Experience using libraries such as Pandas, NumPy, Scikit-learn, or similar.
• Experience building AI or machine learning applications.
• Strong analytical and problem-solving skills.
• Experience working with SQL, Elasticsearch, or other large-scale data platforms.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience collaborating directly with customers to solve analytical problems.

Nice to Have

• Experience with LLMs, prompt engineering, or retrieval-augmented generation (RAG).
• Experience with geospatial analysis, pattern-of-life analytics, or time-series analysis.
• Experience with data visualization tools and dashboard development.
• Experience deploying machine learning models into production.

Experience Required: 12 years with Bachelor's degree in a technical discipline or 4 additional years without degree

Location: Columbia, MD

Clearance: TS/SCI with Polygraph required

Salary Range: $204,000 - $247,000