Senior Data Scientist - TS/SCI Clearance | Real-Time ML

Prescient Edge; Florida; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary + bonus

Healthcare benefits

Retirement plan

Career development opportunities

Job summary

Prescient Edge in Doral, Florida seeks a data science professional to design and implement advanced ML models for forecasting, risk assessment, and decision-making in mission-critical environments. You will work with Python-based tooling and cloud data pipelines to translate operational challenges into analytic solutions.

Responsibilities include data provenance tracking and governance reporting, as well as developing AI/ML models leveraging TensorFlow, PyTorch, and Scikit-learn.

Qualifications

• Master’s degree in Data Science, ML, Statistics, or related field; or 9+ years of equivalent AI/ML experience.
• Experience building AI/ML models with Python, TensorFlow, PyTorch, or Scikit-learn.
• Ability to translate operational challenges into analytic solutions across structured, unstructured, and geospatial data.

Responsibilities

• Design and implement advanced ML models and statistical methods for forecasting, risk assessment, and decision-making in mission-critical environments.
• Conduct data provenance tracking, documenting sources, transformations, and lineage for governance compliance.
• Submit Data Provenance & Lineage Report detailing workflows, feature engineering, and audit information.

Skills

Deep learning

Supervised learning

Unsupervised learning

Data wrangling

Feature engineering

Model explainability

Bias mitigation

Python

TensorFlow

PyTorch

Scikit-learn

Production deployment

Real-time analytics

Databricks

Apache Spark

Geospatial data

Analytic solutions

Education

Master’s degree in Data Science/ML/Statistics

9+ years of equivalent AI/ML experience

Tools

Databricks

Apache Spark

Job description

Prescient Edge in Doral, Florida seeks a data science professional to design and implement advanced ML models for forecasting, risk assessment, and decision-making in mission-critical environments. You will work with Python-based tooling and cloud data pipelines to translate operational challenges into analytic solutions.

Responsibilities include data provenance tracking and governance reporting, as well as developing AI/ML models leveraging TensorFlow, PyTorch, and Scikit-learn.