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Data Science Engineer Jobs in New Jersey (NOW HIRING)

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 ...

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a closely related quantitative field. * Master's or PhD preferred Experience * 3-5+ years of hands-on ...

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a closely related quantitative field. * Master's or PhD preferred Experience * 3-5+ years of hands-on ...

Showing results 41-60

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 5, 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.

Senior Principal Scientist, Data Science RWE

Jj

Raritan, NJ โ€ข Hybrid

Full-time

Retirement, PTO

Re-posted 19 days ago


Key responsibilities

  • Lead a portfolio of RWE projects, develop best practices, and mentor team members.

  • Identify technical requirements for RWE projects and develop tools to enable data scientists to accelerate project delivery.

  • Design and execute RWE studies, including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include:

  • Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoringteam members.

  • Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery.

  • End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.

  • Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.

  • Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.

  • Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures

  • Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence

Required qualifications:
  • A Ph.D. degree in epidemiology or biostatistics

  • Expert coding skills using R, Python, or SAS

  • At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries

  • Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases

  • Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure

  • Excellent interpersonal, communication and presentation skills

Preferred qualifications:
  • Familiarity with drug discovery and the clinical development process

  • Subject matter knowledge in oncology, Immunology or Neuroscience

  • Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR1

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits