We are hiring for Data Scientist II at Scottsdale AZ (Onsite) location/Need GC & USC

0 views

Skip to first unread message

Shyam Nampalle

unread,

Mar 31, 2026, 9:50:14 AM (4 days ago) Mar 31

to Shyam Nampalle

Hi ,

We are hiring for Data Scientist II at Scottsdale AZ (Onsite) location

Need GC & USC

Role : Data Scientist II – Model Validation and Monitoring

Location : Scottsdale AZ (Onsite)

This 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 deploying models.

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

Regards,

Shyam Nampalle

Sr. Associate – Talent Acquisition

KAnand Corporation

| Email: shy...@kanandcorp.com

Web: www.kanandcorp.com

## CAUTION - Disclaimer ##

This e-mail contains Privileged and Confidential Information intended solely for use of the recipient (s). If you are not the intended recipient, please notify the sender by e-mail and delete the original message. Any unauthorized review, use, disclosure, dissemination, forwarding, printing or copying of this email or any action taken in reliance on this e-mail is strictly prohibited and may be unlawful. WARNING: Computer viruses can be transmitted via email. The recipient should check this email and any attachments for the presence of viruses. The company accepts no liability for any damage caused by any virus transmitted by this email. KAnand reserves the right to monitor and review the content of all messages sent to or from this e-mail address. Messages sent to or from this e-mail address may be stored on KAnand’s e-mail system.