Senior Data Scientist

Prescient Edge is seeking aSenior Data Scientistto 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 everyones 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.

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 Masters 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)