Data Scientist

Prescient Edge • Doral, FL

11d • Onsite

About The Position

Prescient Edge is seeking a Data Scientist to support a federal government client. This role involves developing and refining predictive models, conducting exploratory data analysis (EDA), and generating AI-driven insights to enhance intelligence and operational planning. The Data Scientist will integrate customer feedback into model iteration cycles using Agile development methodologies and submit Predictive Model Performance Reports.

Requirements

• Possess the knowledge and capability to develop and refine predictive models.
• Analyze large-scale datasets.
• Document analytic processes.
• Proficient in data mining, statistical modeling, and AI-driven forecasting techniques.
• Experience in working with structured and unstructured data sources.
• Knowledge of data visualization, feature selection, and geospatial analytics is required.
• Capable of integrating data from multiple sources.
• Ensure model accuracy.
• Working within an Agile sprint cycle to deliver iterative improvements.
• 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.
• Experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning.
• Experience in implementing models into operational workflows.
• Must be a US citizen.
• Able to obtain a clearance.

Nice To Haves

• AWS Certified Data Analytics – Specialty
• Microsoft Certified: Azure AI Fundamentals
• Certified Data Scientist (CDS)

Responsibilities

• Develop and refine predictive models.
• Conduct exploratory data analysis (EDA).
• Generate AI-driven insights to enhance intelligence and operational planning.
• Integrate customer feedback into model iteration cycles.
• Leverage Agile development methodologies.
• Submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
• Develop and refine predictive models.
• Analyze large-scale datasets.
• Document analytic processes.
• Integrate data from multiple sources.
• Ensure model accuracy.
• Work within an Agile sprint cycle to deliver iterative improvements.
• Implement models into operational workflows.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior