Senior Data Scientist with deep expertise in cl Developer : Python, Pyspark, NumPy, Pandas, SQL

BlueSnap, Inc; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you'll leverage your expertise in machine learning to tackle complex classification challenges. This role offers the opportunity to design innovative algorithms and build robust data pipelines. Collaborate with a talented team dedicated to pushing the boundaries of technology and making impactful contributions in fields like fraud detection and cybersecurity. Embrace a culture of continuous learning and professional development while enjoying a competitive salary and comprehensive benefits package. Your skills will help shape the future of technology solutions in a dynamic and supportive environment.

Benefits

Medical Insurance

Dental Insurance

401K

Paid Time Off

Health Savings Account

Professional Development Opportunities

Qualifications

• 5+ years of experience in machine learning, focusing on classification problems.
• Advanced understanding of handling imbalanced datasets and anomaly detection.

Responsibilities

• Design and implement machine learning models for classification problems.
• Develop advanced anomaly detection algorithms with high precision.

Skills

Python

Pyspark

Machine Learning

Data Preprocessing

Anomaly Detection

Statistical Modeling

Education

MS or PhD in Computer Science

Advanced degree in Statistics

Tools

Databricks

Big Data Platforms

Job description

Senior Data Scientist with deep expertise in cl Developer : Python, Pyspark, NumPy, Pandas, SQL

• USA
• Intermediate
• Full-time

Description

Job Title: Senior Data Scientist - Advanced Machine Learning Specialist

Location: Remote work accepted in the United States

Job Overview:

We are seeking an exceptional Data Scientist with deep expertise in classification techniques, particularly for challenging scenarios involving imbalanced datasets and anomaly detection. The ideal candidate will combine advanced theoretical understanding with robust implementation skills across Python and Spark ecosystems.

Key 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.

Required Qualifications:

• 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.
• Supervised and unsupervised classification algorithms.
• Techniques for handling imbalanced datasets.
• Advanced anomaly detection methodologies.
• Comprehensive knowledge of machine learning algorithms' theoretical underpinnings.

Technical Skills:

• Proficient in Python and PySpark.
• Advanced Databricks implementation experience.
• Deep understanding of:
• Classification algorithms (Logistic Regression, Decision Trees, Random Forests, Gradient Boosting).
• Anomaly detection techniques.
• Handling class imbalance (SMOTE, class weights, ensemble methods).
• Experience with big data platforms and distributed computing.
• Strong statistical modeling and mathematics background.

Specific Technical Requirements:

• Ability to explain algorithmic limitations and potential failure modes.
• Experience with techniques like:
• One-class classification.
• Ensemble methods for imbalanced data.
• Advanced resampling techniques.
• Proven track record of solving real-world classification challenges in high-stakes environments.

Preferred Qualifications:

• 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.

Compensation:

• Competitive salary commensurate with expertise.
• Opportunities for continued learning and professional development.

Matrix Global Services is a leading multinational corporation that provides innovative and comprehensive solutions in technology, consulting, and outsourcing. With a history of over 30 years, Matrix has established itself as a trusted partner for businesses across various industries, consistently delivering exceptional results.

We're a network of firms in 10+ countries with over 13,000 people. At Matrix, we pride ourselves on our commitment to excellence and our ability to adapt to the ever-changing needs of our clients. Our team of highly skilled professionals is adept at understanding complex business challenges and tailoring solutions that drive sustainable growth and profitability.

Our wide range of services includes cutting-edge technology solution services, strategic consulting, digital transformation, cloud computing, cybersecurity, and managed services. Whether it's developing customized software applications, streamlining business processes, implementing robust IT infrastructure, or managing complex projects, our expertise and industry knowledge enable us to deliver value-added solutions that meet each client's unique requirements.

Come and join a winning team! You'll be challenged, have fun, and be a part of a highly respected organization! Matrix offers a competitive base salary and a complete benefit package. Benefits include medical, dental, 401K, STD, HSA, and PTO.

EQUAL OPPORTUNITY EMPLOYER:Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.