Data Scientist

Prescient Edge; Town of Florida (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Performance bonus

Healthcare benefits

Retirement plan

Career development

Positive work environment

Job summary

Prescient Edge is seeking a Data Scientist to support a federal government client. This role focuses on developing predictive models, performing EDA, and delivering AI-driven insights to improve intelligence and operational planning.

Responsibilities include integrating customer feedback into model iterations within an Agile workflow and submitting the Predictive Model Performance Report outlining key findings, accuracy metrics, and operational impact.

Qualifications

• Develop and refine predictive models and analyze large datasets.
• Proficient in data mining, statistical modeling, and AI forecasting.
• Experience with Python, R, SQL and DS libraries (Pandas, NumPy, SciPy).
• Experience with cloud-based AI/ML tools and deploying models.

Responsibilities

• 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 within Agile development methodology to stay responsive to mission requirements.
• Submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.

Skills

Predictive modeling

Data mining

Statistical modeling

AI forecasting

EDA

Data visualization

Feature engineering

Geospatial analytics

Python

R

SQL

Pandas

NumPy

SciPy

Agile

AWS SageMaker

Azure ML

Education

Bachelor's degree in Data Science, Statistics, Computer Science or related field

7+ years of equivalent ML/predictive modeling experience

Tools

SageMaker

Azure Machine Learning

Job 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

• 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)