Data Scientist II: Model Validation & Monitoring

Vytwo; Prosper (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Vytwo is seeking a Data Scientist II for their Model Validation and Monitoring Team, based in located in Prosper, Texas. The successful candidate will lead model monitoring activities and conduct model validation to ensure compliance with business and regulatory standards. They should possess significant experience in data science and be proficient in Python, R, and SQL while also being able to effectively communicate complex analyses to non-technical audiences. This is an onsite position with a focus on delivering machine learning models.

Qualifications

• Minimum of 2 years of data science or related experience required.
• Experience developing data pipelines in Python, R, or equivalent.
• Proficiency in writing and tuning SQL queries.
• Ability to handle terabyte size datasets using Spark.
• Experience using machine learning libraries like mllib.
• Strong communication skills for non-technical audiences.

Responsibilities

• Lead model monitoring and performance metrics tracking.
• Conduct rigorous model validations during development phases.
• Explore and aggregate data to identify anomalies impacting performance.
• Write production-level code in a dynamic environment.
• Solve complex problems using large datasets.
• Partner with cross-functional teams to identify trends.

Skills

Machine Learning Techniques

Data Visualization

Python Programming

SQL

Data Science Pipelines

Root Cause Analysis

Tools

scikit-learn

Spark

PySpark

Job description

Vytwo is seeking a Data Scientist II for their Model Validation and Monitoring Team, based in located in Prosper, Texas. The successful candidate will lead model monitoring activities and conduct model validation to ensure compliance with business and regulatory standards. They should possess significant experience in data science and be proficient in Python, R, and SQL while also being able to effectively communicate complex analyses to non-technical audiences. This is an onsite position with a focus on delivering machine learning models.