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Entry Level Data Science Jobs in Edison, NJ (NOW HIRING)

SynergisticIT

Java Developer

Manhattan, NY

$56.25 - $72.75/hr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing ...

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY · On-site

$72K - $212K/yr

Within our Data Science practice, you will focus on building meaningful client connections and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Pwc

AI & GenAI Data Scientist - Manager

New York, NY

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Florham Park, NJ · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

Entry Level Java Developer

Passaic, NJ

From staffing to full implementation of projects we provide the highest quality IT Services. We provide Java and Data Science Training to candidates, who we think would fit a job requirement with one ...

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Entry Level Data Science information

See Edison, NJ salary details

$10

$19

$27

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

As of Jun 11, 2026, the average hourly pay for entry level data science in Edison, NJ is $19.72, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $22.16 per hour, depending on experience, location, and employer.

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 build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Edison, NJ? The most popular types of Data Science jobs in Edison, NJ are:
What are popular job titles related to Entry Level Data Science jobs in Edison, NJ? For Entry Level Data Science jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Edison, NJ look for? The top searched job categories for Entry Level Data Science jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Entry Level Data Science jobs? Cities near Edison, NJ 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 Edison, NJ as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $41,026 per year, or $19.7 per hour.
Entry Level Artificial Intelligence/Machine Learning/Data Science

Entry Level Artificial Intelligence/Machine Learning/Data Science

SynergisticIT

Jersey City, NJ

Other

Posted 14 days ago

Job description

Entry Level Artificial Intelligence/Machine Learning/Data Science

Greetings, My name is Anand and I'm an IT recruiter at Synergistic IT. Our records show that you are an experienced IT professional with experience in Entry Level Artificial Intelligence/Machine Learning/Data Science. This experience is relevant to one of my current openings.

Location: NY, NJ, CA, TX Type: Contract/Fulltime Experience: 0-1+ Years Required Technical and Professional Expertise:

  • Demonstrated work experience in an education-related field, training, program/project management
  • Proven track record of driving project timelines to meet program objectives

Preferred Technical and Professional Expertise:

  • Having knowledge of or experience with some IBM's specific technology offerings in areas such as Data Science, AI, as well as Open Source products such as Python.
  • Basic knowledge with Adobe Captivate, Camtasia and/or Adapt
  • Proven work experience in an education-related field in Data Science, Machine Learning and AI
  • Instructional Design knowledge
  • Masters of Science degree in Analytics, Data Science, or related field

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