Data Scientist

Prescient Edge

$80K — $120K *
Miami, FL 33122In-Person
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field, or 7 years equivalent experience in machine learning and predictive modeling.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques.
  • Experience with structured and unstructured data sources, data visualization, feature selection, and geospatial analytics.
  • Demonstrated experience in exploratory data analysis (EDA), feature engineering, and statistical testing.
  • Familiarity with Python, R, SQL, and data science libraries like Pandas, NumPy, SciPy.
  • Experience with cloud-based AI/ML tools like AWS SageMaker or Azure Machine Learning.

Responsibilities

  • Develop and refine predictive models leveraging AI-driven insights to assist operational planning.
  • Conduct exploratory data analysis (EDA) and submit performance reports documenting model accuracy and operational impacts.
  • Integrate customer feedback into model iteration cycles using Agile methodologies for responsive mission requirements.
  • Ensure accurate integration of data from multiple sources to support model development and validation.
  • Work within Agile sprints to deliver iterative improvements in model performance.

Benefits

  • 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 and tuition reimbursement.
  • A positive work environment where employees feel respected, supported, and engaged.
Full Job Description
Job Title

Data Scientist

Location

Doral, FL 33122 US (Primary)

Category

Intelligence

Job Type

Full-Time

Career Level

Staff

Education

Bachelor's Degree

Travel

Security Clearance Required

None

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.


Job 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)


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