ZipRecruiter

Log In

1

Opt Cpt Data Science Jobs in Seattle, WA (NOW HIRING)

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

Sonsoft Inc

Data Science Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... No OPT-EAD, H1B & TN candidates, please. * Please mention your Visa Status in your email or resume

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

KPMG

Director, Salesforce AI Specialist

Seattle, WA

$63.25 - $83.75/hr

... Accredited Professional, Data Cloud Consultant, or Agentforce Life Sciences Consultant are ... J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ...

New

Eaton

Systems Architect - IT Module

Tukwila, WA · On-site

$198K - $290K/yr

... CPT, STEM OPT, or related employment authorization sponsorship. All positions may require ... and data security will be protected in accordance with applicable laws. At Eaton, we strive to ...

next page

Showing results 1-20

All JobsOpt Cpt Data Science JobsOpt Cpt Data Science Jobs in Seattle, WA

Opt Cpt Data Science information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Aug 14, 2026, the average yearly pay for opt cpt data science in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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?

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 is an Opt CPT Data Science job?

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 Opt CPT 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 popular job titles related to Opt Cpt Data Science jobs in Seattle, WA?

For Opt Cpt Data Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Opt Cpt Data Science jobs in Seattle, WA look for?

The top searched job categories for Opt Cpt Data Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Opt Cpt Data Science jobs?

Cities near Seattle, WA with the most Opt Cpt Data Science job openings:

Opt Cpt Data Science jobs near you
Infographic showing various Opt Cpt Data Science job openings in Seattle, WA as of June 2026, with employment types broken down into 27% Full Time, 66% Part Time, 1% Temporary, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Trainee Consultant-Data Science

Applexus Technologies

Seattle, WA • On-site

Full-time

Re-posted 3 days ago

Job description

United States of America Seattle Full Time
Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across North America, Canada, the United Kingdom, and India. We help enterprises realize value from AI and advanced analytics by applying AI/ML solutions directly to core business processes. With strong foundations in SAP and enterprise platforms, Applexus delivers AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our focus is on translating enterprise data into actionable intelligence that improves decision-making, operational efficiency, and business outcomes. Applexus approaches AI pragmatically designing solutions that are scalable, governed, and ready for real-world enterprise deployment.
Applexus AI Practice
The Applexus AI Practice is built on deep domain expertise and a strong understanding of enterprise systems, particularly SAP. We combine this knowledge with our proprietary AI accelerators to help organizations move from AI exploration to production-ready implementation. Our teams embed intelligent automation into the fabric of enterprise operations, enabling AI systems that operate within existing workflows rather than alongside them. These solutions are designed to integrate seamlessly with SAP landscapes while meeting enterprise standards for security, reliability, and performance. A key area of focus is Agentic AI-autonomous, goal-driven systems that can reason and act across enterprise processes. By pairing agentic architectures with SAP domain expertise, Applexus delivers AI solutions that are context-aware, governed, and built for scale.
About the Role:
We are looking for a motivated and inquisitive Trainee Consultant - Data Science to join our team. In this role, you will contribute to real-world machine learning and data science projects under the mentorship of experienced professionals. This opportunity is ideal for individuals who are eager to apply their academic knowledge, expand their technical skills, and gain hands-on experience in AI/ML technologies in a collaborative environment.
Skills & Qualifications:
  • Master's degree in data science, Artificial Intelligence, or a related field from an accredited U.S. university.
  • Proficiency in Python
  • Familiarity with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistics, linear algebra, and core machine learning algorithms.
  • Strong analytical and problem-solving abilities.
  • Capable of working both independently and collaboratively in a team environment.
Key Responsibilities:
  • Assist in the design, development, and evaluation of machine learning models.
  • Perform data cleaning, preprocessing, and feature engineering tasks.
  • Contribute to projects involving predictive modeling, natural language processing (NLP), or computer vision.
  • Utilize Python and tools such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch in project execution.
  • Collaborate with team members to analyze outcomes and generate actionable insights.
  • Maintain thorough documentation of work, models, and findings.
What You'll Gain:
  • Practical, hands-on experience with leading AI/ML technologies.
  • Mentorship and guidance from experienced professionals in the field.
  • Opportunity to contribute to real-world projects with measurable impact.
  • Potential consideration for future full-time roles will be based on performance during the training tenure.
How to Apply
Interested candidates may apply through the career site by submitting their full resume.
  • Preference will be given to U.S. Citizens and Green Card holders.
  • Candidates on OPT with STEM extension eligibility are also welcome to apply and will be considered based on merit. If on OPT, please specify the validity period and indicate STEM eligibility.

Location: Seattle, USA Work Hours: Full Time (40 hours per week)
Join the Team

Apply