Data Science Engineer Visa Sponsorship Jobs in New Jersey
Data science engineer visa sponsorship jobs in New Jersey are concentrated along the Route 1 corridor and the Newark-Jersey City metro, where financial services firms like Prudential and Johnson Controls, pharma companies like Johnson & Johnson and Merck, and tech-forward employers actively file H-1B petitions for roles combining machine learning, data pipeline engineering, and advanced analytics.
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Get Access To All JobsINTRODUCTION
As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience.
Responsibilities
- Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling.
- Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks.
- Help implement data quality checks, validation routines, and monitoring for automated data workflows.
- Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices.
- Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development.
- Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake.
- Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL.
- Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets.
- Participate in model development, including data profiling, model training, validation, and interpretation.
- Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk.
- Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value.
- Collaborate with business leaders to translate insights into operational improvements and cost efficiencies.
QUALIFICATIONS
- Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field.
- Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL.
- Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment.
- Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development.
- Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred.
- Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus.
- Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects.
- Strong analytical, communication, and problem-solving skills.
- A self-starter mindset, with attention to detail and enthusiasm for learning new technologies.
SALARY RANGE
The pay range for this position is $35 hourly.
ABOUT THE COMPANY
The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."
INTRODUCTION
As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience.
Responsibilities
- Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling.
- Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks.
- Help implement data quality checks, validation routines, and monitoring for automated data workflows.
- Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices.
- Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development.
- Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake.
- Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL.
- Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets.
- Participate in model development, including data profiling, model training, validation, and interpretation.
- Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk.
- Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value.
- Collaborate with business leaders to translate insights into operational improvements and cost efficiencies.
QUALIFICATIONS
- Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field.
- Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL.
- Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment.
- Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development.
- Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred.
- Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus.
- Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects.
- Strong analytical, communication, and problem-solving skills.
- A self-starter mindset, with attention to detail and enthusiasm for learning new technologies.
SALARY RANGE
The pay range for this position is $35 hourly.
ABOUT THE COMPANY
The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."
Data Science Engineer Job Roles in New Jersey
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Search Data Science Engineer Jobs in New JerseyData Science Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data science engineers in New Jersey?
New Jersey's largest H-1B sponsors for data science engineering roles include Johnson & Johnson, Merck, Prudential Financial, Cognizant, and Tata Consultancy Services. Consulting and IT services firms with major New Jersey offices file a significant share of petitions, alongside pharma and financial services employers concentrated in the Princeton, Parsippany, and Iselin corridors. Large employers in these industries have established legal and HR infrastructure for sponsorship.
Which visa types are most common for data science engineer roles in New Jersey?
The H-1B is the most common visa for data science engineers in New Jersey, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, meeting the specialty occupation standard. Candidates from India and China often rely on H-1B and may later file EB-2 or EB-3 immigrant visa petitions. Australians may qualify for the E-3 visa, and Canadians or Mexicans may qualify under TN status in qualifying specialty categories.
Which cities in New Jersey have the most data science engineer sponsorship jobs?
Jersey City and Newark lead in volume, largely due to financial services firms with Manhattan-adjacent operations. Princeton and the surrounding Mercer County area concentrate pharma and biotech employers. Parsippany-Troy Hills and Bridgewater attract large corporate headquarters. Iselin and Edison, in Middlesex County, are notable for IT services firms that regularly sponsor data science and data engineering roles for international workers.
How to find data science engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science engineer roles in New Jersey without sorting through positions that don't offer sponsorship. The platform surfaces openings from employers with documented H-1B filing histories in New Jersey, which is particularly useful given how spread out sponsoring employers are across the Route 1 corridor, Mercer County, and the Newark metro.
Are there any New Jersey-specific factors that affect visa sponsorship for data science engineers?
New Jersey's prevailing wage requirements for H-1B petitions are benchmarked to the Newark-Jersey City and Trenton metropolitan statistical areas, which reflect competitive compensation expectations in financial services and pharma. Rutgers University and NJIT produce a steady pipeline of candidates who transition from F-1 OPT into sponsored positions, meaning New Jersey employers are generally familiar with the sponsorship process for this role category. Industry sector matters: pharma and finance employers here tend to have more established sponsorship workflows than smaller tech startups.
What is the prevailing wage for sponsored data science engineer jobs in New Jersey?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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