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Opt Cpt Data Science Jobs (NOW HIRING)

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

$28 - $45/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... The intern will work closely with Data Scientists and Software Engineers to develop, train ...

$28 - $45/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... The intern will work closely with Data Scientists and Software Engineers to develop, train ...

$28 - $45/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... The intern will work closely with Data Scientists and Software Engineers to develop, train ...

$25 - $42/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... Science or related STEM fields who are passionate about backend development, automation, data ...

$80K - $100K/yr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... Science or related STEM fields who are passionate about backend development, automation, data ...

$25 - $42/hr

H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking ... Science or related STEM fields who are passionate about backend development, automation, data ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

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Opt Cpt Data Science information

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$44.5K

$129.7K

$177.5K

How much do opt cpt data science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for opt cpt data science in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Opt CPT Data Scientist, and why are they important?

To thrive as an Opt CPT Data Scientist, you need a solid background in statistics, programming (often in Python or R), and data analysis, typically supported by a related degree such as computer science, statistics, or engineering. Familiarity with tools like SQL, machine learning frameworks (e.g., TensorFlow, Scikit-learn), and data visualization platforms such as Tableau is often required, along with relevant certifications. Strong problem-solving abilities, communication skills, and teamwork are crucial soft skills that help you interpret complex data and convey insights effectively. These competencies are essential for extracting actionable value from data, supporting informed decision-making, and driving organizational success.

How do data scientists typically collaborate with cross-functional teams in an organization?

Data scientists frequently work alongside product managers, engineers, and business analysts to translate business challenges into data-driven solutions. This often involves participating in meetings to understand project goals, sharing progress updates, and presenting findings in a clear, actionable manner to both technical and non-technical stakeholders. Effective communication and teamwork are essential, as data scientists must ensure their insights are understood and can be integrated into business strategies or product development. Collaboration tools and agile methodologies are commonly used to streamline this process.

What are Opt CPT Data Science jobs?

Opt CPT Data Science jobs are positions in the data science field that are suitable for international students in the United States on F-1 visas who are authorized to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT). These roles typically involve tasks such as data analysis, machine learning, statistical modeling, and data visualization. Employers hiring for Opt CPT Data Science jobs often consider candidates who require visa sponsorship and are familiar with the OPT/CPT process. The positions can be found across various industries such as technology, finance, healthcare, and retail. These roles help international students gain valuable work experience related to their field of study.

What is the difference between Opt Cpt Data Science vs Data Analyst?

AspectOpt Cpt Data ScienceData Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications like CAP, Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentTech companies, finance, healthcare; focus on predictive modeling and machine learningBusiness, marketing, finance; focus on data visualization and reporting
Industry UsageCommon in tech, finance, healthcare sectorsWidely used across industries including retail, finance, and marketing

Opt Cpt Data Science and Data Analyst roles share foundational skills in data handling and analysis. However, Data Scientists often focus on advanced modeling and machine learning, while Data Analysts emphasize data visualization and reporting. Both roles are vital in data-driven decision-making but differ in complexity and scope.

More about Opt Cpt Data Science jobs
What cities are hiring for Opt Cpt Data Science jobs? Cities with the most Opt Cpt Data Science job openings:
What states have the most Opt Cpt Data Science jobs? States with the most job openings for Opt Cpt Data Science jobs include:
Infographic showing various Opt Cpt Data Science job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 64% Full Time, 23% Part Time, 3% Temporary, and 5% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
E-Payments Risk Data Scientist (Machine Learning)

E-Payments Risk Data Scientist (Machine Learning)

Fiserv, Inc.

Sunnyvale, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
E-Payments Risk Data Scientist (Machine Learning)
About your role:
As a E-Payments Risk Data Scientist (Machine Learning), you will design, build, and optimize fraud and credit risk models that protect our clients and their customers across electronic payments. You will partner closely with product, risk, technology, and client-facing teams to translate data-driven insights into effective fraud strategies. Your work will help reduce losses, improve client outcomes, and strengthen trust in our digital payment solutions.
What you'll do:
  • Analyze fraud patterns and trends in electronic payments to identify emerging attack vectors and actionable insights.
  • Design, test, and implement new fraud models and strategies, including rules and machine learning approaches, to improve detection and minimize false positives.
  • Develop and optimize fraud and credit risk models for additional products and channels, ensuring solutions are scalable and maintainable.
  • Execute the full modeling lifecycle, including data collection, data quality checks, feature engineering, model development, validation, performance monitoring, and production deployment.
  • Present analytical findings, model performance, and recommendations to internal stakeholders and clients, translating complex statistical concepts into clear, business-focused messages.
  • Investigate and evaluate new data sources to determine their predictive value and integrate them into existing and new fraud models where appropriate.
  • Collaborate in the design and development of new products and services related to fraud detection and prevention, advising on data and modeling requirements.
  • Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.

Experience you'll need to have:
  • 2+ years of analytics experience in risk, fraud, or credit domains using tools such as Python, SQL, or similar, including end-to-end work with large datasets.
  • 2+ years of experience in developing and deploying predictive models, including classification models, within financial services, payments, fintech, or a related industry.
  • Experience designing and executing the full modeling cycle, including data collection, exploratory data analysis, feature engineering, model estimation, performance evaluation, and production implementation using tools such as Python (for example, Pandas, scikit-learn, TensorFlow).
  • Experience explaining statistical and machine learning concepts to non-technical stakeholders in client-facing or cross-functional settings, including the ability to create clear visualizations and presentations.
  • Experience writing production-quality Python code to collect and prepare data, estimate models, summarize results, and deliver code for model deployment in collaboration with engineering or operations teams.
  • Experience using SQL (for example, PL/SQL or similar) to develop queries, scripts, or stored procedures to support automated data collection and model input pipelines.
  • Bachelor's degree or higher in Statistics, Mathematics, Engineering, Finance, Data Science, Computer Science, or related field or equivalent combination of education, related experience and/or military experience.

Experience that would be great to have:
  • Experience working in fintech or e-commerce fraud prevention, including card-not-present or digital payments use cases.
  • Experience with big data and cloud-based analytics environments such as Spark, Azure, or Databricks, including running Python notebooks and working with streaming data (for example, Kafka).
  • Experience in consulting or client-facing roles where you delivered analytical solutions, recommendations, or strategies directly to external clients.
  • Experience using large language models, code-generation tools, or GPT-based prompts to automate coding tasks, data pipelines, or analytical workflows.

How you'll work:
  • This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
  • This role requires use of a computer and audio equipment.

Sponsorship:
You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.
Benefits at Fiserv:
  • Fuel Your Life program to support your physical, financial, social, and emotional well-being.
  • Paid holidays and generous time away policies.
  • No-cost mental health support through Employee Assistance Programs.
  • Living Proof program to recognize your peers' extra effort with points redeemable for rewards.
  • Eight Employee Resource Groups to foster a collaborative culture and expand your network.
  • Unparalleled professional growth with training, development, and internal mobility opportunities.
  • Medical, dental, vision, life, and disability insurance options available from day one.
  • Retirement planning and discounted shares with the Employee Stock Purchase Plan.
  • Tuition assistance and reimbursement program.
  • Paid parental, caregiver, and military leave.

Salary Range
$104,000.00 - $160,800.00
These pay ranges apply to employees in Sunnyvale, California. Pay ranges for employees in other states may differ.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.
Thank you for considering employment with Fiserv. Please:
  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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