ZipRecruiter

Log In

1

Opt Cpt Data Science Jobs (NOW HIRING)

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

No CPT/OPT; all others considered Key Responsibilities: - Leverage 6+ years of experience in data ... Science, Engineering, Business, or related field (or equivalent experience/certifications)

KPMG

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

Drive the delivery of robust data science features by taking ownership of specific modules from ... 1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its subsidiaries ("KPMG ...

Consumers Energy

Data Scientist

Royal Oak, MI

We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is ... Communicate data science outputs and support the creation of models and solutions that provide ...

New

Consumers Energy Company

Data Scientist

Royal Oak, MI · On-site

We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is ... Communicate data science outputs and support the creation of models and solutions that provide ...

Consumers Energy

Data Scientist

Royal Oak, MI · On-site

We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is ... Communicate data science outputs and support the creation of models and solutions that provide ...

Nasdaq

Senior Data Scientist

Boston, MA · Hybrid

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... J-1, OPT, CPT or any other employment-based visa) This position will be located in Boston, and ...

Nasdaq

Senior Data Scientist

Boston, MA · On-site

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... J-1, OPT, CPT or any other employment-based visa) This position will be located in Boston, and ...

KPMG

Data Science Senior Associate

Chicago, IL

Experience with data science, machine learning methods, and LLM-based solutions and products ... 1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its subsidiaries ("KPMG ...

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Master's degree from an accredited college or university in Computer Science, Data Science ... 1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its subsidiaries ("KPMG ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Consultant JobsOpt Cpt Data Science Jobs

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 Sep 11, 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 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 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 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 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:

What job categories do people searching Opt Cpt Data Science jobs look for?

The top searched job categories for Opt Cpt Data Science jobs are:

Opt Cpt Data Science jobs near you
Infographic showing various Opt Cpt Data Science job openings in the United States as of September 2026, with employment types broken down into 6% Internship, 55% Full Time, 24% Part Time, 3% Temporary, and 12% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Scientist - Financial Planning & Analysis

New York, NY • On-site

Fusemachines
Software Development • 51 - 200 employees
Learn more about Fusemachinesexternal

Full-time

Re-posted 17 days ago

Key responsibilities

  • Develop predictive models for revenue, expenses, cash flow, profitability, and other key financial metrics.

  • Build driver-based forecasting and scenario-planning models to support annual budgets, rolling forecasts, and long-range planning.

  • Analyze historical performance, operational drivers, and external factors to identify trends, risks, and opportunities.

Job description

About FusemachinesFounded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Important: Immigration Sponsorship Policy

This position is not elegible for employment visa sponsorship or transfer sponsorship now or in the future.

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).
About the Role

We are seeking a Data Scientist to support Financial Planning & Analysis by developing forecasting models, analytical tools, and data-driven insights that improve financial planning and business decision-making.

This role combines financial analysis, statistical modeling, machine learning, and data engineering. The ideal candidate understands how financial statements and business drivers interact and can translate complex data into practical recommendations for finance and executive stakeholders.

Key Responsibilities
  • Develop predictive models for revenue, expenses, cash flow, profitability, and other key financial metrics.
  • Build driver-based forecasting and scenario-planning models to support annual budgets, rolling forecasts, and long-range planning.
  • Analyze historical performance, operational drivers, and external factors to identify trends, risks, and opportunities.
  • Improve forecast accuracy by applying statistical methods, machine learning, and time-series modeling.
  • Perform variance analysis to explain differences between actuals, budgets, forecasts, and prior periods.
  • Develop sensitivity analyses and simulations to evaluate alternative business scenarios.
  • Partner with finance, accounting, operations, sales, and other business teams to define analytical requirements and success measures.
  • Create dashboards and automated reporting tools that provide visibility into financial and operational performance.
  • Integrate and analyze data from ERP, CRM, financial planning, and operational systems.
  • Identify data quality issues and work with technical and business teams to improve financial data reliability.
  • Present analytical findings and recommendations to finance leaders and senior executives.
  • Document models, assumptions, data sources, methodologies, and validation results.
  • Support the responsible use of machine learning and generative AI within finance workflows.
Required Qualifications
  • Bachelor’s degree in Data Science, Statistics, Economics, Finance, Mathematics, Computer Science, or a related field.
  • 7+ years of experience in data science, financial analytics, business analytics, or a related role.
  • Proficiency in Python and SQL.
  • Experience with statistical analysis, predictive modeling, and time-series forecasting.
  • Understanding of budgeting, forecasting, variance analysis, and financial performance management.
  • Ability to work with large, complex datasets from multiple systems.
  • Experience developing dashboards with tools such as Power BI, Tableau, or Looker.
  • Strong analytical, problem-solving, and quantitative reasoning skills.
  • Ability to translate technical findings into clear business and financial recommendations.
  • Strong written and verbal communication skills.
Preferred Qualifications
  • Experience working directly within an FP&A, corporate finance, or strategic finance team.
  • Understanding of income statements, balance sheets, cash flow statements, and management reporting.
  • Experience with forecasting techniques such as regression, ARIMA, exponential smoothing, gradient boosting, or probabilistic forecasting.
  • Experience with financial planning platforms such as Anaplan, Adaptive Planning, Oracle EPM, SAP Analytics Cloud, or similar tools.
  • Familiarity with ERP and financial systems such as SAP, Oracle, NetSuite, or Microsoft Dynamics.
  • Experience with cloud data platforms such as Snowflake, Databricks, AWS, Azure, or Google Cloud.
  • Familiarity with scenario simulation, optimization, causal inference, or sensitivity analysis.
  • Experience deploying analytical models into production environments.
  • Knowledge of data governance, model monitoring, and financial control requirements.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.

Powered by JazzHR

e6nL3cjUNw