*An Active Secret Clearance is required for consideration to this position*
Zachary Piper Solutions is seeking a Data Scientist to support a United States Air Force (USAF) logistics program. This position is considered hybrid and will report to Andrews Air Force Base ONCE per week. This candidate will create, deploy, and manage Machine Learning and Artificial Intelligence techniques to provide impactful decision making abilities within the Air Force Logistics community. The perfect candidate will have strong Python and SQL skills with AI/ML experience.
Responsibilities:
- Experience with Python libraries used for AI development (TensorFlow, Scikit-learn, PyTorch, or Keras)
- Demonstrated experience with supervised and unsupervised machine learning techniques
- Strong SQL scripting capabilities for data query and preparation
- 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, dashboards, etc.)
- 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
Qualifications:
- 5+ years of experience in data science with tools such as Databricks or Jupyter Notebooks
- Bachelors Degree in related field
- Active Secret Clearance
- Analytical and problem-solving skills with Business Intelligence tools (Tableau, Power BI, and SAP Business Objects)
- Ability to be on-site once per week at Andrews AFB in Andrews, MD
Compensation:
- Salary is up to $160,000 depending on experience
- Client Paid Health, Dental, Vision Insurance - no money out of your pocket!
- PTO, 401K, Paid Holidays, Sick Leave if required by Law
- Continuing Education - Client will reimburse educational expenses that relate directly to career!
This job posting opens on 3/21/25 and will remain open for at least 30 days from the posting date
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