Data Scientist

← Explore more opportunities Data Scientist Job Description About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence? Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI PE?? Assessment 2025.

About Position:

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.

Role:

Data Scientist - Model Validation and Monitoring

Location:

Scottsdale AZ Experience:

8+ Years

Job Type:

Contract

What You'll Do:

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

Expertise You'll Bring:

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. 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

Benefits:

Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let's unleash your full potential at Persistent - persistent.com/careers "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind." 1 PySpark,Python,Cloudera Skills Required Scottsdale, AZ, USA Location PySpark,Python,Cloudera,Other,Spark,Systems,Performance Desirable Skills 8 to 10 years Years Of Exp 171578 Job Code