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Entry Level Data Science Jobs in New Jersey (NOW HIRING)

Thorlabs

Data Analyst I

Newton, NJ

$72K - $94K/yr

... * Entry level to 1 year experience with data visualization best practices and the ability to ... Bachelor's degree in Data Analytics, Business Analytics, Computer Science or related fields ...

Actalent

Entry Level Recruiter | Sales Trainee

Edison, NJ · On-site

$205K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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How much do entry level data science jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level data science in New Jersey is $19.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.73 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in New Jersey?

The most popular types of Data Science jobs in New Jersey are:

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

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

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

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

What cities in New Jersey are hiring for Entry Level Data Science jobs?

Cities in New Jersey with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,233 per year, or $19.3 per hour.

Entry Level Business Analyst

Data Cloud Merge

Jersey City, NJ • On-site

Full-time

Re-posted 14 hours ago

Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Involve in project cycle plan for the data warehouse, source data analysis, data extraction process, transformation, and loading strategy designing.
  • Create Technical Specification Documents and capacity planning reports as part of the project requirement and followed the SDLC using the Waterfall model.
  • Produce appropriate documentation that allowed stakeholders to understand the steps of the data analysis process.
  • Assist Supply chain analysts with automating reporting functionality using Power BI tools, Power BI reporting, Dashboards & Scorecards (KPI).
  • Create action filters, parameters, and calculated sets for preparing dashboards and worksheets in Tableau
Qualifications
  • Bachelors or Masters Degree in Business, Finance, Technology, Computer Science, Engineering or any discipline.
  • Knowledge of Data Mining with large datasets of Structured and Unstructured Data, Data Acquisition, Data Validation, Predictive Modelling, and Data Visualization.
  • Proficiency in all phases of requirements gathering, analysis, designing, testing and documentation, and a good understanding of Agile and Waterfall Methodologies.
  • Ability to work independently and in a team environment, collaborating effectively with business, delivery, and technology partners.
Additional Information

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