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Data Scientist Opt Jobs (NOW HIRING)

QUANTUM TECHNOLOGIES LLC

Data Scientist

Rock Island, IL · On-site

$80/hr

Data Scientist Location: Rock Island, IL, USA Duration: 6 Months + Extension Bill Rate: $80/hour ... US-Citizen, H-1B, OPT-EAD, GC-EAD * Conduct analysis of mission data applicable in multiple domains.

T Rowe Price

Senior Data Scientist

Manhattan, NY · Hybrid

... OPT), TN visa or any other non-immigrant work status . FINRA Requirements FINRA licenses are not required and will not be supported for this role. Work Flexibility This role is eligible for hybrid ...

Judge Group, Inc.

Data Scientist IV

Bridgewater, NJ · On-site

Job Title: Technical Process Manager - Decision Scientist cum Consultant/ Data Scientist Iv ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Fusemachines

Lead Data Scientist

New York, NY · On-site +1

$110K - $140K/yr

About the role A Lead Data Scientist is responsible for designing and implementing data-driven ... Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). Please ...

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

About the role A Lead Data Scientist is responsible for designing and implementing data-driven ... Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). Please ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

Data Scientist II candidates should have deeper expertise with a stronger emphasis on card fraud ... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

Data Scientist II candidates should have deeper expertise with a stronger emphasis on card fraud ... OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent ...

PNC Bank

GenAI Data Scientist

Ponca City, OK · On-site

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Data Science, Machine Learning (ML), Machine Learning Methods, Model Risk Competencies Data ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected ...

PNC Bank

GenAI Data Scientist

Strongsville, OH · On-site

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Data Science, Machine Learning (ML), Machine Learning Methods, Model Risk Competencies Data ...

PNC Bank

GenAI Data Scientist

Schenectady, NY · On-site

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Data Science, Machine Learning (ML), Machine Learning Methods, Model Risk Competencies Data ...

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All JobsData Scientist Opt Jobs

Data Scientist Opt information

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$46K

$165K

$243.5K

How much do data scientist opt jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data scientist opt in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are Data Scientists?

Data Scientists are professionals who use statistical analysis, machine learning, and programming skills to extract insights from large and complex datasets. They work across industries to help organizations make data-driven decisions, often by building predictive models and visualizations. Data Scientists typically have expertise in mathematics, statistics, computer science, and domain knowledge relevant to their field. Their work often involves cleaning and preparing data, exploring patterns, and communicating findings to stakeholders. As businesses increasingly rely on big data, the role of Data Scientists has become critical to unlocking actionable information from raw data.

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

To thrive as a Data Scientist, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a relevant degree in computer science, statistics, or a related field. Experience with data analysis tools (such as Pandas, NumPy, and SQL), machine learning frameworks (like scikit-learn or TensorFlow), and data visualization platforms is typically required. Excellent problem-solving abilities, effective communication, and curiosity help Data Scientists translate complex data findings into actionable business insights. These skills ensure you can extract meaningful value from data and communicate results clearly to drive decision-making.

What is the difference between Data Scientist Opt vs Data Analyst?

AspectData Scientist OptData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentResearch and development teams, data-driven projects, advanced analyticsBusiness units, reporting, data visualization, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, finance, government agencies

Data Scientist Opt and Data Analyst roles share some foundational skills but differ mainly in complexity and scope. Data Scientist Opt focuses on advanced analytics, machine learning, and predictive modeling, while Data Analysts primarily handle data reporting and visualization. Both roles are essential in data-driven organizations but serve different purposes based on project complexity and technical requirements.

What are some typical challenges Data Scientists face when collaborating with cross-functional teams?

Data Scientists often work alongside engineers, product managers, and business analysts, which can present challenges in aligning technical solutions with business goals. Communication is key, as translating complex data insights into actionable recommendations for non-technical stakeholders can be demanding. Additionally, ensuring data quality and managing expectations about project timelines are common hurdles. Being adaptable and proactive in fostering collaboration helps Data Scientists succeed in these environments.
More about Data Scientist Opt jobs
What cities are hiring for Data Scientist Opt jobs? Cities with the most Data Scientist Opt job openings:
What states have the most Data Scientist Opt jobs? States with the most job openings for Data Scientist Opt jobs include:
What job categories do people searching Data Scientist Opt jobs look for? The top searched job categories for Data Scientist Opt jobs are:
Data Scientist Opt jobs near you
Infographic showing various Data Scientist Opt job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Data Scientist

Senior Data Scientist

T Rowe Price

Manhattan, NY • Hybrid

Other

Posted 11 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

About the Team

Are you a curious problem solver who asks great questions and loves collaborating across disciplines?At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you're a handson leader who cares about people as much as technology, we'd love to talk.

Role Summary

This is a handson, endtoend lead role-from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm's nextgeneration data and AI platform, aiming to seamlessly deliver ondemand MLpowered insights across our firm.

Responsibilities

  • Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.

  • Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.

  • Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.

  • Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.

  • Deliver welldefined work items; clarify requirements through thoughtful questions and proposals.

  • Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

  • Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.

  • Help shape elements of the data/ML platform strategy and drive execution within your domain.

  • Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.

Qualifications

Required:

  • BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML.

  • Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring).

  • Solid understanding of cloudnative architectures (AWS).

  • Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders.

Preferred:

  • Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).

  • Strong Python and Spark expertise; handson Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).

  • Timeseries/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).

  • A solid understanding of financial markets and instruments.

  • Commitment to quality via unit/integration tests, data validation, documentation, and code review.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.

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