Data Scientist

Description Prescient Edge is seeking a Data Scientist to support a federal government client.

Please note that the availability of this position is contingent upon. Benefits: 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.

Description:

• Develop and refine predictive models, conduct exploratory data analysis (EDA), and generate AI-driven insights to enhance intelligence and operational planning.
• Integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
• Submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.

Requirements Experience:

• Possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
• Personnel must be proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources. Knowledge of data visualization, feature selection, and geospatial analytics is required. Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
• Personnel must have demonstrated experience in exploratory data analysis (EDA), feature engineering, and statistical testing.
• Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
• Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Education:

• A Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or seven (7) years of equivalent experience in machine learning and predictive modeling.
• Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Security Clearance:

• Must be a US citizen and able to obtain a clearance.

Location:

• Doral, Florida. (USSOUTHCOM Headquarters)