Senior Applied AI Engineer – Data Science & Analytics

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 to transform large datasets into actionable mission insights through AI-enabled analytics tools. The role emphasizes production-grade Python software and data science within a fast-moving AI team.

Responsibilities include EDA, feature engineering, and ML on mission datasets, with strong emphasis on communicating results to stakeholders and collaborating with customers to solve analytical problems.

Qualifications

• Design and develop AI-enabled analytics applications using Python.
• Perform exploratory data analysis, feature engineering, statistical analysis, and ML on mission datasets.
• Experience building AI or ML applications.
• Strong analytical and problem-solving skills.
• Experience communicating with both technical and non-technical stakeholders.
• Experience collaborating directly with customers to solve analytical problems.

Responsibilities

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

Skills

Python

Data science

Machine learning

Analytical thinking

Communication

Customer collaboration

Problem solving

LLMs/RAG

Geospatial analysis

Time-series analysis tools

Education

Bachelor's degree in a technical discipline

Tools

Pandas

NumPy

Scikit-learn

SQL

Elasticsearch

Python production software

Job description

Senior Applied AI Engineer - Data Science & Analytics

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