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Opt Cpt Data Science Jobs (NOW HIRING)

... OPT, F-1 CPT, TN, 'job flexibility benefits' (also known as I-140 or Adjustment of Status ... This role is ideal for someone who will thrive working at the intersection of computational science ...

Please don't share CPT, OPT . OPT EAD and H4 EAD profiles JD: Skills Required: Data/Analytics ... Partner with Data Engineering, Data Science and Data Management teams to improve data completeness ...

Data Scientist

Reston, VA · Hybrid

$130K - $165K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Support the ADC member directory and opt-in/opt-out data governance framework, ensuring data is ...

Data Scientist

Reston, VA · Hybrid

$130K - $165K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Support the ADC member directory and opt-in/opt-out data governance framework, ensuring data is ...

Data Scientist

Reston, VA · On-site

$130K - $165K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... Support the ADC member directory and opt-in/opt-out data governance framework, ensuring data is ...

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Opt Cpt Data Science information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 8, 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 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.

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.

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.

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Scientist III- Human Capital Data and Analytics Enablement

Data Scientist III- Human Capital Data and Analytics Enablement

Truist

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Truist rating

8.1

Company rating: 8.1 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

47th of 145 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:The Data Scientist III designs and delivers analytics-driven digital products that enable executive and business-unit leadership to make informed, data-driven decisions. This role goes beyond traditional analysis by owning the end-to-end creation of scalable dashboards, tools, and analytical solutions that surface key metrics, trends, and predictive insights for senior leaders.
As a self-starter, this individual will help shape the role and analytics roadmap, working closely with mid-level and executive leadership to gather requirements, translate business questions into analytical frameworks, and design intuitive, high-impact dashboards and reporting experiences. These digital products will allow leaders to securely sign in and monitor the performance, risks, and opportunities within their business units in near real time.
The Data Scientist III performs advanced analytics using human capital data sourced from the cloud. The role partners closely with HR and data engineering teams as the Snowflake environment continues to mature, ensuring data quality, usability, and analytical readiness.
In addition to hands-on development, this role acts as a trusted analytics advisor, consulting with stakeholders on how to interpret insights, embed analytics into decision-making, and build strategies around data. The Data Scientist III leads smaller, well-scoped projects independently, plays key roles on larger, more complex initiatives, and serves as a resource and mentor to less-experienced analysts and data scientists.
**For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)**

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
2. Support new, ongoing, and strategic projects and take accountability and ownership of end-to-end data science solution design, technical delivery (including building the visualization using Tableau, Qlik ,Sigma or another enterprise sanctioned tool), and measurable business outcome.
3. Extract and evaluate information gathered from multiple sources, resolve data conflicts and customize communication of key data findings, while providing recommendations to diverse audiences.
4. Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
5. Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value. Emphasize reusability and scalability in all design, development, deployment and mentoring activities through implementing consistent coding standards and best practices, focusing on clarity of communication across stakeholder groups and maintaining rigorous documentation.
6. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage; data governance and analytics capabilities; help with the overall risk management for the team.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Minimum of six years of related experience
3. Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
4. In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
5. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
6. Working knowledge of Snowflake, Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Ten years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry
4. Experience working with data science workspace within Adobe Enterprise Platform
5. Experience working with Graph Databases, graph query language, and related algorithms

The annual base salary for this position is $90,000 - $140,000.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019