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Data Science Engineer Jobs in New Jersey (NOW HIRING)

Verizon

Principal Data Science Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team. In this role, you won't just process data; you will transform raw information into the strategic ...

Unilever

Data Science Manager

Hoboken, NJ

Stakeholder & Business Partnership Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science ...

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

Advanced degree in Computer Science, Engineering, Statistics, or related field * Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industryis ...

Merck & Co.

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Animal Vaccination, Business Intelligence (BI), Collaborative Development, Computer Engineering, Computer Science, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization ...

MSD

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Collaborate across global teams Partner closely with data scientists, MLOps, and engineering teams across the U.S. and Prague to deliver scalable solutions Required Experience & Skills * Bachelor ...

Varsity Tutors

Data Science Tutor

Elizabeth, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Jersey City, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Trenton, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Point Pleasant, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Clifton, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Paterson, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in New Jersey

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 Aug 3, 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 engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

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 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 is a Data Science Engineer job?

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 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 ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are the most commonly searched types of Data Science Engineer jobs in New Jersey? The most popular types of Data Science Engineer jobs in New Jersey are:
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:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in New Jersey as of July 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Principal Data Science Engineer

Verizon

Basking Ridge, NJ • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Verizon rating

7.8

Company rating: 7.8 out of 10

Based on 521 frontline employees who took The Breakroom Quiz

37th of 96 rated telecommunications companies

Job description

When you join Verizon
You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you'll be doing...
Data science is the engine that drives informed decision-making and unlocks the hidden potential within our enterprise data. As a Principal Data Science Engineer, you will join the Verizon Consumer AI & Analytics team. In this role, you won't just process data; you will transform raw information into the strategic intelligence that shapes customer behaviors and market trends for the Verizon Consumer Group.
You will use data and innovation as fuel to propel Verizon beyond the competition. You will architect products and assets that support the Consumer Sales Organization, Sales Planning & Operations, and Consumer Base Marketing by developing and performing complex analyses using big data technologies.
  • Develop high-scale systems, applications, and advanced visual dashboards using Big Data technologies.
  • Design and refine predictive models to solve complex business questions and improve operational predictability.
  • Extract actionable insights from massive datasets to drive revenue and customer retention
  • Guide peers through system usage assessments.
  • Lead process improvement initiatives and ensure rigorous data quality standards.
  • Apply sophisticated UI/UX design principles to data visualization.
  • Stay at the forefront of modeling techniques and emerging industry trends to keep Verizon's analytics ecosystem "ahead of the game.

What we're looking for...
With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria, allows you to deliver solutions that make a huge impact. You're able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.
You'll need to have:
  • Bachelor's degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Experience in data management, analysis and visualization.
  • Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
  • Experience with data modeling using LookML in the Looker platform
  • Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro)
  • Experience as a data scientist, analyst, or statistical modeler.
  • Experience with programming language SQL.
  • Experience in designing, developing and implementing ETL processes.

Even better if you have one or more of the following:
  • A master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research.
  • A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners.
  • Demonstrated knowledge of Retail Channel metrics and data domain principles.
  • Experience in visual science / dashboard design principles.
  • Experience in applying statistical ideas and methods to data sets to answer business problems.
  • Experience with programming languages, like Python, JS, or R.
  • Experience with Machine Learning algorithms and tools

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.
Where you'll be working
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and Compensation
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $120,500.00 - $231,000.00.

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