System Analyst Artificial Intelligence/Machine Learning

DANE, LLC; Woodbridge (VA); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Flexible work from home options

Job summary

DANE, LLC is seeking a System Analyst to join the Data Management team. The role focuses on building ML models, AI solutions, and data pipelines, while translating stakeholder requirements into actionable plans and developing Power BI visualizations.

Ideal candidates will have a strong data science foundation, ML framework experience, and familiarity with the Azure environment, plus collaboration with Information and Business Analytics teams. Flexible work-from-home options are available.

Qualifications

• Bachelor’s degree in Data Science or related field; Master’s preferred.
• 2+ years of AI/ML development including model design, training and deployment.
• Proficiency in Python and ML libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Experience with Azure (Azure ML workspace, App Services) and GitHub.
• Experience with databases (MySQL, PostgreSQL) and RESTful APIs.
• Knowledge of security best practices and ability to work in fast-paced team.

Responsibilities

• Design, build and optimize ML models and data pipelines.
• Collaborate with experts to translate requirements into technical solutions.
• Develop and deploy models in production.
• Monitor model performance and reliability.
• Develop reports and dashboards using Power BI paginated reports.
• Assist in configuring and managing data connections.
• Write clean, documented code and participate in code reviews.
• Stay current with AI/ML research and apply relevant findings.

Skills

AI/ML development

Python

Data visualization

Power BI

Azure

GitHub

RESTful APIs

Communication

Collaboration

Education

Bachelor's degree in Data Science or related field

Master's degree preferred

Tools

TensorFlow

PyTorch

MySQL

PostgreSQL

Azure ML

Jupyter Notebook

scikit-learn

Job description

Position Summary

DANE is seeking a highly motivated System Analyst to join the Data Management team. In this role, the ideal candidate will work closely with the Information and Business Analytics team, stakeholders and subject‑matter experts to build machine learning (ML) models, artificial intelligence (AI) solutions, configure data pipelines to integrate models with existing software and applications, and drive innovation in alignment with the organization’s AI initiatives, as well as have experience collecting stakeholder requirements, translating requirements into an actionable plan and developing data visualizations using tools like Microsoft Power BI. The ideal candidate will have a strong foundation in data science, proficiency in machine learning frameworks, data visualizing frameworks and have experience in developing ML models and AI agents using Python, as well as being familiar with the Microsoft Azure environment.

Position Responsibilities

• Design, build and optimize machine learning models and configure data pipelines to source data from various business systems.
• Collaborate with functional experts to understand requirements and translate them into technical solutions.
• Develop and deploy models in production environments.
• Monitor and maintain deployed models to ensure accuracy, performance and reliability.
• Work with datasets and cloud platforms to build efficient data pipelines.
• Stay current with the latest research and trends in AI/ML and incorporate relevant findings into the development process.
• Write clean, maintainable and well-documented code following software engineering best practices.
• Participate in code reviews, design discussions and team collaborations to improve overall software quality.
• Develop and maintain reports based on stakeholders’ requirements by using Power BI Paginated Reports builder.
• Support the development, maintenance, and enhancement of reports and dashboards across the organization.
• Assist in the configuration and management of database/system connections.
• Perform other related duties and activities, as needed.

Required Skills

• Bachelor’s degree in Data Science or a related field. Master’s degree preferred.
• 2+ years of experience in AI/ML development, including model design, training and deployment.
• Proficiency in Python and experience with ML libraries such as Pandas, NumPy, NLTK, SciPy, Matplotlib, Seaborn, TensorFlow, PyTorch, JobLib, Jupyter Notebook, scikit‑learn or similar.
• Knowledge of Azure subscription, Azure Machine Learning workspace and Azure App Services.
• Experience with GitHub for code version controls.
• Experience with databases like MySQL, PostgreSQL, etc.
• Knowledge of RESTful APIs and microservices architecture.
• Familiarity with server‑side security best practices and implementation.
• Excellent problem‑solving skills and ability to work in a collaborative, fast‑paced environment.
• Strong communication skills and the ability to translate complex concepts into clear solutions.

Physical Demands and Work Environment

Physical Demands

• Work is mostly sedentary with periods of light physical activity. The work requires standing for short periods, lifting and carrying up to 20 pounds, climbing stairs, bending, reaching, holding, grasping, and turning objects; and operating a computer or keyboard.

Work Environment

• Primary work is performed indoors in a standard office setting. The noise level in the work environment is usually moderate. Work is subject to frequent interruptions.

The qualifications listed above are intended to represent the minimum skills and experience levels associated with performing the duties and responsibilities contained in this job description. The qualifications do not express absolute employment or promotional standards - they are general guidelines that should be considered along with the job‑related selection or promotional criteria.

Flexible work from home options available.