Senior Data Scientist

Prescient Edge

$100K — $130K *
Miami, FL 33122In-Person
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, Machine Learning, Statistics, or similar field, or 9 years of equivalent experience.
  • Proficient in developing advanced machine learning models and optimizing workflows.
  • Experience with deep learning, data wrangling, and feature engineering.
  • Familiar with data provenance tracking and model explainability.
  • Skilled in building and validating models using Python, TensorFlow, PyTorch, or Scikit-learn.
  • Experience with distributed data processing frameworks like Databricks or Apache Spark.
  • Background in working with geospatial datasets.

Responsibilities

  • Design and implement ML models to enhance forecasting and decision-making processes.
  • Conduct tracking of data provenance to ensure compliance with governance policies.
  • Submit comprehensive reports summarizing data transformation workflows and audit compliance.
  • Optimize analytic workflows for predictive and prescriptive approaches.
  • Translate operational challenges into effective analytic solutions.

Benefits

  • Comprehensive healthcare benefits including medical, vision, and dental coverage.
  • Substantial retirement plan with no vesting schedule.
  • Career development options like on-the-job training and tuition reimbursement.
  • Positive work environment promoting respect and engagement.
Full Job Description
Job Title

Senior Data Scientist

Location

Doral, FL 33122 US (Primary)

Category

Intelligence

Job Type

Full-Time

Career Level

Staff

Education

Master's Degree

Travel

Security Clearance Required

TS/SCI

Job Description

Prescient Edge is seeking a Senior 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:
  • Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • Submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.


Job Requirements

Experience:
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Personnel must be proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.

Education:
  • A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Security clearance:
  • Active TS/SCI clearance.

Location:
  • Doral, Florida. (USSOUTHCOM Headquarters)


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