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Data Science Engineer Jobs in New Jersey (NOW HIRING)

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Data Science Engineer information

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$45.2K

$131.7K

$180.2K

How much do data science engineer jobs pay per year?

As of Sep 8, 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.

Adjunct, Data Science

Monmouth University

West Long Branch, NJ • On-site

Part-time

Retirement

Re-posted 7 days ago


Job description

Monmouth University is seeking qualified candidates for an Adjunct Professor of Data Science in the Computer Science and Software Engineering department. The successful candidate will teach undergraduate and/or graduate-level courses in Data Science.
Part-time adjunct faculty members typically teach 3-6 credits per semester, with class schedules determined based on departmental needs and candidate availability. Courses are taught in person at the West Long Branch campus. Adjunct positions remain posted continuously to expand the university's pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps.
This is an in-person, on-campus, non-remote position.
For additional information about the department, please visit the Department of Computer Science and Software Engineering webpage.
Additional Application Material Required:
Monmouth University requires all applications and supporting documents to be submitted via the university's career portal. In addition to the application, candidates must upload the following documents. Applications will not be considered complete for review until all required documents are uploaded.
  1. Resume or Curriculum Vitae
  2. Cover Letter
  3. Contact Information for Three Professional References
  4. Two Letters of Recommendation

Optional Documents: Additional materials such as evidence of teaching effectiveness or student mentoring.
Special Instructions to Applicants:
We encourage candidates to include information in the cover letter that addresses their approach to teaching and their plans to advance diversity, equity, and inclusion in their position at Monmouth University.
Duties and Responsibilities:
  • Teach 3-6 credits of undergraduate and/or graduate-level Data Science courses each semester, including topics such as data analytics, machine learning, ethics and bias in AI, applications of data science, advanced data science techniques, natural language processing, deep learning, computer vision, and low-code/no-code data analysis.
  • Develop and deliver course lectures, discussions and assignments in accordance with the curriculum and learning objectives.
  • Provide time during the week to meet with students outside of class.
  • Foster a positive and inclusive learning environment conducive to student engagement and academic success.
  • Develop and administer projects and exams to evaluate student learning outcomes and provide grades in a timely manner.
  • Provide timely feedback and guidance to students to support their learning and development.

Enrichment Statement:
Monmouth University values diversity and invites applications from underrepresented groups who will enrich the teaching and service missions of the university.
Minimum Qualifications:
  • Master's degree or higher in Data Science, Artificial Intelligence, Computer Science, or a related field.
  • Demonstrated expertise in Data Science or a related discipline.
  • Experience teaching Data Science, Artificial Intelligence, or related topics at the higher-education level.
  • Excellent interpersonal, organizational and communication skills.

Preferred Qualifications:
  • Industry experience in Data Science, Artificial Intelligence, Machine Learning, or a related field.

Questions regarding this search should be directed to:
Dr. Zheng at lzheng@monmouth.edu or 732-571-4459
Note to Applicants:
Adjunct positions remain posted continuously to expand the university's pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps.
Working at Monmouth University perks:
  • Employee Assistance Program (EAP)
  • Employee Tuition Remission
  • Employee elective deferrals to TIAA, 403(b) plan
  • On campus, Fitness Center - free membership

To view a full list of benefits, visit our benefits page at: Employee Benefits Information | Human Resources | Monmouth University
Department:
Computer Science and Software Engineering
Work Schedule:
Varies
Total Weeks Per Year
14
Expected Salary
$3,700 per 3-credit graduate-level course
Union:
N/A
Job Posting Close Date
N/A
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.