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Data Science Engineer Jobs in New Jersey (NOW HIRING)

Partner with senior leaders across Product, Engineering, Program, and Operations to understand business needs and translate them into a cohesive Data Science strategy and roadmap. * Influence and ...

Minimum of 5 years' of industry experience in data science, analytics or engineering preferred * Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data ...

Minimum of 5 years' of industry experience in data science, analytics or engineering preferred * Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data ...

Minimum of 5 years' of industry experience in data science, analytics or engineering preferred * Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data ...

Our diverse team of analysts, writers, engineers, designers, business leads, data scientists and sales professionals all work together to create thoughtful, data-driven and effective marketing ...

Data Engineering and Manipulation; Work with data engineers and data scientists to design and ... deliver products into the organization effectively; Understand the reasons for cleansing and ...

Showing results 21-40

Data Science Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do data science engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in New Jersey?

For Data Science Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in New Jersey look for?

The top searched job categories for Data Science Engineer jobs in New Jersey are:

Infographic showing various Data Science Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Healthcare Data Scientist

Cooper University Hospital

Camden, NJ • On-site

$70/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Cooper University Health Care rating

7.5

Company rating: 7.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

232nd of 898 rated healthcare providers


Job description

About Us
At Cooper University Health Care, our commitment to providing extraordinary health care begins with our team. Our extraordinary professionals are continuously discovering clinical innovations and enhanced access to the most up-to-date facilities, equipment, technologies and research protocols. We have a commitment to our employees to provide competitive rates and compensation programs. Cooper offers full and part-time employees a comprehensive benefits program, including health, dental, vision, life, disability, and retirement. We also provide attractive working conditions and opportunities for career growth through professional development.
Discover why Cooper University Health Care is the employer of choice in South Jersey.
Short Description
The Data Scientist plays a pivotal role in planning, executing, and delivering machine learning-based projects that drive business impact. This role involves analyzing large datasets, developing AI /ML /optimization models, and translating findings into actionable insights. The Data Scientist partners with business and operational leaders, supports senior leadership with analytics, and fosters a culture of data-driven decision-making across the organization.
Experience Required
3 to 5 years of relevant project experience in successfully planning, and executing data science projects, including statistical analysis and data engineering.
Education Requirements
Master's Degree Required.
Master's, or PhD in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Operations Research, or a related quantitative field.
License/Certification Requirements
Relevant certifications in data science/AI (e.g., Google Cloud Professional ML Engineer, AWS Certified Machine Learning).
Salary Min ($)
USD $41.00
Salary Max ($)
USD $70.00

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