Data Scientist

Talentify; Town of Florida (NY); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary with performance-bо

Healthcare (medical, vision, dental, &

Retirement plan

Job summary

Prescient Edge is seeking a Data Scientist to support a federal government client. Develop and refine predictive models, perform exploratory data analysis, and generate AI-driven insights to inform intelligence and operational planning.

The role requires US citizenship and the ability to obtain a clearance. The candidate will work in Agile sprint cycles, integrating feedback and delivering model performance reports, with experience in Python, R, SQL, and cloud-based ML tools such as AWS

Qualifications

• 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.

Responsibilities

• Develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
• 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; integrate data from multiple sources to ensure model accuracy in Agile sprints.
• Experiences in exploratory data analysis (EDA), feature engineering, and statistical testing.
• Experience with Python, R, SQL, and data science libraries (Pandas, NumPy, SciPy).
• Experience with cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and deploying models into operational workflows.

Skills

Data mining

Statistical modeling

AI/ML forecasting

Exploratory data analysis

Feature engineering

Geospatial analytics

Data visualization

Python

R

SQL

Education

Bachelor's degree in Data Science/Statistics/CS or 7 years experience

AWS Certified Data Analytics – Specialty

Microsoft Certified: Azure AI Fundamentals

Certified Data Scientist (CDS)

Tools

Pandas

NumPy

SciPy

AWS 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:

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.

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)