DSD Laboratories is hiring: Data Analyst in Baltimore

Get AI-powered advice on this job and more exclusive features.

DSD Laboratories, a leader in Cybersecurity, IT Portfolio / Project Management and Big Data Analytics Decision Support, is currently seeking a motivated and qualified professional for an exciting opportunity to lead, manage, and coordinate the creation and configuration of advanced data visualizations, dashboards, and decision support tools that integrate machine learning and artificial intelligence techniques to aid senior leader decision making across the Air Force Logistics community.

Why YOU should join the DSD Team!

If you are a dynamic individual with a strong passion to help others, this may be the role for you! At DSD Laboratories, we focus on the customers and ultimately on the end‑users. We are committed to bringing passion and customer service to the U.S. Air Force warfighters!

While we truly believe in working hard, we also believe in enjoying life. Family is a core value to DSD!

The DSD Laboratories team works very hard and while this position is challenging, it is also very rewarding!

About The Team

The team focuses on two areas: Customer Service and Capability Delivery.

• We provide critical customer support to 36k+ users on a regular basis through emails, phone calls, training sessions, and web publishing/communications.
• The team delivers decision‑support capabilities to the U.S. Air Force warfighter using AGILE methodologies.

How you will support the customers

• Get It Done – Successfully deliver end‑to‑end projects and capabilities, working through a wide range of challenges and opportunities across multiple organizations.
• Communicate – Communicate regularly with customers, teammates, and stakeholders on both technical and non‑technical topics.
• Create – Utilize analytics platforms with business intelligence tools to design, test, and deploy enterprise capabilities (data models, dashboards, reports, etc.).
• Collaborate – Work closely with individuals across the team to share ideas and ensure accurate and timely product delivery.

About the Position

The data analyst works closely with data scientists, business analysts, product owners, and key stakeholders to create, deploy, and manage capabilities that apply advanced machine learning and artificial intelligence techniques (forecasting, clustering, NLP, generative AI, and more) to provide actionable decisions. Strong SQL skills are required for this role.

Preferred individual is self‑motivated with a proactive work ethic who prioritizes client delivery.

Key Skills/Experience Required

• 3+ years of experience in data analysis.
• Design and implement dashboards integrating AI/ML models using business intelligence visualization tools (preferably Qlik Sense).
• Ensure the performance, efficiency, and scalability of deployed products (models).
• Experience performing in‑depth analysis to identify trends, patterns, and insights that provide actionable recommendations for senior leaders.
• 3+ years of experience with tools like Databricks or Jupyter Notebooks.
• Strong SQL scripting capabilities for data query and preparation.
• Experience gathering, analyzing, and translating requirements into functional specifications, prototypes, and working capabilities.
• Requires strong organizational skills and an action‑oriented personality; experience leading tasks and tracking actions across multiple organizations.
• Excellent analytical and problem‑solving abilities backed by solid writing and highly effective communication skills; must collaborate constructively and effectively with project end‑users, customers, advocates, and stakeholders.

Other Skills (beneficial, not required)

• Master’s degree or higher in data science, computer science, information systems, mathematics, or a similar discipline.
• Experience with Python libraries used for AI development (TensorFlow, Scikit‑learn, PyTorch, or Keras).
• Demonstrated experience with supervised and unsupervised machine learning.
• Analytical and problem‑solving skills with Business Intelligence tools (e.g., Tableau, Power BI, and SAP BusinessObjects).
• Experience with automated machine learning platforms like DataRobot.
• Data access and management experience with tools like Databricks and iQuery.
• Familiarity with U.S. Air Force logistics data.
• Continuing education – DSD will reimburse educational expenses directly related to career opportunity.