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Data Scientist II – Model Validation and Monitoring

Retail IndustryDallas, Texas

$60 - $65 / hour

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$60-$65/hour

Job Description

Role : Data Scientist II – Model Validation and Monitoring
Location: Scottsdale AZ (Onsite)
US Citizen & GC OnlyMust be legally authorized to work in US without need for employer sponsorship now or at any time in the future.
Overall, PurposeThis position serves as a data science team member in the Model Validation and Monitoring Team delivering leading edge machine learning models to our clients.  This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deployingmodels.
Essential Functions
  • Lead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies.
  • Conduct rigorous model validation by providing effective challenges during model development phases, including performance testing, benchmarking, provide remediation plan, and documentation to ensure models meet business, technical, and regulatory standards.
  • Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
  • Write production level code in a dynamic, start-up environment
  • Solve complex problems using terabyte size data sets
  • Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Explain and visualize results and algorithm performance to non-technical audiences
Minimum Qualifications
  • A minimum of 2 years of data science, engineering, mathematics, or related work experience is required.
  • Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language.
  • Experience applying various machine learning techniques, and understanding the key parameters that affect model performance
  • Experience using ML libraries, such as scikit-learn, mllib, etc.
  • Experience using data visualization tools
  • Able to write production level code, which is well-written and explainable
  • Ability to effectively communicate findings from complex analyses to non-technical audiences. 
Preferred Qualifications
  • Experience of using advanced ML algorithms building, testing, and deploying fraud models.
  • Hands-on experience with PySpark
  • Industry experience in building or validating machine learning models
  • Experience exploring data and finding hidden patterns and data anomalies
Compensation: $60.00 - $65.00 per hour

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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FAQs About Data Scientist II – Model Validation and Monitoring Jobs at Retail Industry

What is the work location for this position at Retail Industry?
This job at Retail Industry is located in Dallas, Texas, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Retail Industry?
Candidates can expect a pay range of $60–$65 per hour for this role.
What employment applies to this position at Retail Industry?
Retail Industry lists this role as a Full-time position.
What experience level is required for this role at Retail Industry?
Retail Industry is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Retail Industry?
You can apply for this role at Retail Industry either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.