Data Scientist – AI Forecasting for Mission-Critical Ops

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. 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.