138 applicants

Company

Matrix USA · 20 hours ago

Senior Data Scientist - Advanced Machine Learning Specialist

United States

Full-time

Remote

Senior Level

5+ years exp

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Information Technology & Services

Hiring Manager

liza klein

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Responsibilities

Design and implement sophisticated machine learning models for classification problems with highly imbalanced datasets.

Develop advanced anomaly detection algorithms with high precision and recall.

Create robust data preprocessing and feature engineering pipelines for challenging datasets.

Implement machine learning solutions using Python, PySpark, and Databricks.

Critically evaluate machine learning algorithms, understanding their mathematical foundations and inherent limitations.

Develop and maintain scalable machine learning infrastructure.

Provide technical leadership and mentorship in machine learning techniques.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonPySparkDatabricksClassification algorithmsAnomaly detectionHandling imbalanced datasetsStatistical modelingMachine learning algorithmsEnsemble methodsOne-class classificationAdvanced resampling techniquesPublished researchBig data platforms

Required

Advanced degree (MS or PhD) in Computer Science, Statistics, Machine Learning, or a related quantitative field.

5+ years of professional experience with machine learning, specializing in classification problems.

Expert-level understanding of supervised and unsupervised classification algorithms.

Expert-level understanding of techniques for handling imbalanced datasets.

Expert-level understanding of advanced anomaly detection methodologies.

Comprehensive knowledge of machine learning algorithms' theoretical underpinnings.

Proficient in Python and PySpark.

Advanced Databricks implementation experience.

Deep understanding of classification algorithms (Logistic Regression, Decision Trees, Random Forests, Gradient Boosting).

Deep understanding of anomaly detection techniques.

Deep understanding of handling class imbalance (SMOTE, class weights, ensemble methods).

Experience with big data platforms and distributed computing.

Strong statistical modeling and mathematics background.

Ability to explain algorithmic limitations and potential failure modes.

Experience with techniques like one-class classification.

Experience with ensemble methods for imbalanced data.

Experience with advanced resampling techniques.

Proven track record of solving real-world classification challenges in high-stakes environments.

Preferred

Published research in machine learning.

Experience in domains with inherently imbalanced data (fraud detection, cybersecurity, medical diagnostics).

Contributions to open-source machine learning libraries.

Advanced certifications in machine learning technologies.

Benefits

Medical

Dental

401K

STD

HSA

PTO

Company

Matrix USA

Matrix USA is a leading global specialist, providing business and technology solutions specifically for the complex needs of the global Financial Banking, Payments and Capital Markets Industry.

Founded in 2006

Jersey City, New Jersey, US

10001+ employees