Skills

Problem Solving Python SQL Monitoring Performance Testing Research Machine Learning Scikit-Learn benchmarking Data Science Spark PySpark Mathematics

Job Specifications

Here’s a cleaner, more engaging LinkedIn post version that will attract candidates and is easier to scan on LinkedIn:

Now Hiring: Data Scientist II – Model Validation & Monitoring

We’re looking for a Data Scientist II to join our Model Validation & Monitoring team, where you’ll play a key role in ensuring the performance, reliability, and integrity of machine learning models delivered to our clients.

This role is ideal for someone who enjoys challenging models, solving complex data problems, and working with large-scale datasets in a fast-paced environment.

What You’ll Do

Lead model monitoring activities including performance tracking, data/model drift detection, and data quality analysis
Perform rigorous model validation through performance testing, benchmarking, and documentation to ensure models meet business and regulatory standards
Conduct root cause analysis when model performance issues arise and recommend remediation strategies
Explore and analyze large datasets to identify data anomalies impacting algorithm performance
Develop production-level code in a dynamic environment
Apply machine learning techniques to solve complex business problems
Work with terabyte-scale datasets using Spark
Collaborate with Product and Engineering teams to identify trends and opportunities
Communicate insights and model results to non-technical stakeholders

Basic Qualifications

Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, or related field
2+ years of experience in data science, engineering, or related fields
Experience building data science pipelines and workflows in Python, R, or similar
Strong SQL skills and experience with large datasets
Experience with Spark and machine learning libraries (e.g., scikit-learn, MLlib)
Ability to build production-ready, explainable code
Experience presenting complex analysis to non-technical audiences

Preferred Qualifications

PhD or advanced degree in a related field
Experience building or validating fraud detection models
Hands-on experience with PySpark
2+ years of industry experience developing or validating ML models
Strong ability to work through ambiguity and deliver results in fast-moving environments
Experience identifying hidden patterns and data anomalies in large datasets

If you’re passionate about machine learning, model validation, and data-driven problem solving, we’d love to connect.

#DataScience #MachineLearning #Hiring #DataScientist #AI #ModelValidation #Python #Spark

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About the Company

Prosum is an award-winning Staffing Solutions provider specializing in Contract, Contract-to-Hire, and Permanent placements in the Information Technology industry. Our seasoned recruitment team brings a unique approach to your staffing needs. In addition to our keen understanding of local market needs, we employ a distinctively personal interview process. We take the time to get to know each candidate, including their expertise, training, goals and individual personality. This human approach allows us to be more flexible... Know more