Data Contributor Jobs at Persistent Systems with Visa Sponsorship
Persistent Systems hires Data Contributors to manage, validate, and structure information that powers enterprise technology solutions. The company has an established track record of sponsoring work visas for this function, making it a viable target if you're an international candidate pursuing H-1B or employment-based Green Card pathways.
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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 Services 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 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."
Skills Required
- PySpark
- Python
- Cloudera
Location
- Scottsdale, AZ, USA
Desirable Skills
- Other
- Spark
- Systems
- Performance
Years Of Exp
- 8 to 10 years
Job Code
- 171578
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 Services 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 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."
Skills Required
- PySpark
- Python
- Cloudera
Location
- Scottsdale, AZ, USA
Desirable Skills
- Other
- Spark
- Systems
- Performance
Years Of Exp
- 8 to 10 years
Job Code
- 171578
See all 26+ Data Contributor at Persistent Systems jobs
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Get Access To All JobsTips for Finding Data Contributor Jobs at Persistent Systems Jobs
Align Your Degree to Data Roles
H-1B approval for Data Contributor positions depends on demonstrating a specialty occupation nexus. A degree in computer science, information systems, or statistics strengthens your case more than a general business or unrelated STEM field would.
Target Persistent's Enterprise Data Teams
Persistent Systems staffs Data Contributors across client-embedded projects in financial services, healthcare, and software. Search their openings by business unit, not just job title, to find teams with active data pipeline or data governance mandates.
Verify Your LCA Before Signing an Offer
Before your H-1B petition is filed, Persistent must certify a Labor Condition Application with DOL confirming prevailing wage compliance. Ask your recruiter which wage level they've designated for your role and confirm it reflects your actual responsibilities.
Use Migrate Mate to Surface Open Positions
Data Contributor openings at Persistent Systems are posted across multiple channels and fill quickly. Use Migrate Mate to filter specifically for visa-sponsored Data Contributor roles at Persistent so you're not manually tracking postings across separate job boards.
Prepare for Bench Periods Between Projects
Persistent operates a project-based delivery model, so Data Contributors can cycle between client assignments. Confirm with HR how H-1B status is maintained during internal bench periods, since gaps in qualifying employment can affect your valid status.
Data Contributor at Persistent Systems jobs are hiring across the US. Find yours.
Find Data Contributor at Persistent Systems JobsFrequently Asked Questions
Does Persistent Systems sponsor H-1B visas for Data Contributors?
Yes, Persistent Systems sponsors H-1B visas for Data Contributor roles. The company files petitions through the standard USCIS cap-subject lottery each April, and also uses cap-exempt filings where eligible. If you're already on an H-1B with another employer, Persistent can file an H-1B transfer without waiting for the next lottery cycle, letting you start work once USCIS receives the petition.
Which visa types does Persistent Systems commonly use for Data Contributors?
Persistent Systems uses H-1B most frequently for Data Contributors, given the role's specialty occupation classification under computer and information sciences. For longer-term pathways, the company supports EB-2 and EB-3 employment-based Green Card sponsorship through PERM labor certification. TN status is available for Canadian and Mexican nationals whose qualifications align with approved TN professional categories relevant to data and systems work.
How do I apply for Data Contributor jobs at Persistent Systems?
Applications go through Persistent Systems' careers portal, but roles fill quickly and postings aren't always tagged by visa sponsorship eligibility. Migrate Mate aggregates Persistent Systems' open Data Contributor positions and filters specifically for sponsored roles, so you can identify live opportunities without manually reviewing every listing. Tailor your application to highlight data quality, data pipeline, or data governance experience relevant to their enterprise client work.
What qualifications does Persistent Systems expect for Data Contributor roles?
Persistent Systems typically looks for candidates with a bachelor's degree or higher in computer science, information systems, data science, or a related quantitative field. Hands-on experience with data validation, ETL workflows, SQL, or metadata management is expected. For H-1B sponsorship, your degree must specifically relate to the Data Contributor duties, so a field-to-role match matters as much as the credential level itself.
How do I time my application given H-1B lottery and processing deadlines?
The H-1B cap lottery registration window opens in early March each year, with petitions filed starting April 1 for an October 1 start date. If you're on OPT, you'll need a STEM OPT extension or gap bridging strategy if your authorization expires before October. Start conversations with Persistent Systems' recruiting team at least three to four months before the registration window so your petition paperwork is ready if selected.
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