Data Scientist
Prescient Edge
Doral, United States of America
12 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Doral, United States of America
Tech stack
Geographic Information Systems
Artificial Intelligence
Distributed Computing Environment
Intelligence Analysis
Python
Machine Learning
TensorFlow
Data Processing
Feature Engineering
Azure
PyTorch
Spark
Deep Learning
Scikit Learn
Unsupervised Learning
Databricks
Job description
- Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
- Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
- Submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
Requirements
- Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
- Personnel must be proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
- Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
- Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
- Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
- Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
- Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
Education:
- A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) years of equivalent experience in AI/ML model development and deployment.
- Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.
Security clearance:
- Active TS/SCI clearance.
Benefits & conditions
At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
- A competitive salary with performance bonus opportunities.
- Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
- A substantial retirement plan with no vesting schedule. Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
- A positive work environment where employees are respected, supported, and engaged.
About the company
Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization's success.