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

UI Developer

Newark, NJ ยท On-site

$52.25 - $68/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 ...

Java/Backend Developer (Entry Level)

Corona, NY ยท On-site

$53.25 - $69/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. Who Should Apply Recent IT graduates looking to make their ...

Python Developer (Entry Level)

Paterson, NJ ยท On-site

$51.25 - $70.50/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

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Entry Level Data Science information

See Rutherford, NJ salary details

$10

$19

$27

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

As of Jun 26, 2026, the average hourly pay for entry level data science in Rutherford, NJ is $19.42, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $21.83 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 Rutherford, NJ? The most popular types of Data Science jobs in Rutherford, NJ are:
What are popular job titles related to Entry Level Data Science jobs in Rutherford, NJ? For Entry Level Data Science jobs in Rutherford, NJ, the most frequently searched job titles are:
What cities near Rutherford, NJ are hiring for Entry Level Data Science jobs? Cities near Rutherford, NJ with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Rutherford, NJ as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,399 per year, or $19.4 per hour.
UI Developer

UI Developer

SynergisticIT

Newark, NJ โ€ข On-site

$52.25 - $68/hr

Other

Posted 29 days ago


Job description

Data Scientist Opportunity

At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies. Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech clients like Google, Apple, Cognizant, Client, PayPal, to name a few. Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge. 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, and preparing large databases for statistical analysis.

Minimum Background and Qualifications Requirement
  • Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
  • Must have Mathematics or Statistics background
Technical and Soft Skills Required
  • Experience in Python programming and understanding of the software development life cycle.
  • Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
  • Excellent written and verbal communication skills.
  • Highly motivated, self-learner, team player, and technically inquisitive.
  • Strong work ethics and creative problem-solving abilities.
Preferred Skills
  • Deep Learning
  • Data visualization
  • NLP
  • Scala
  • Django
Roles and Responsibilities
  • Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
  • Assess project requirements and develop data analysis algorithms.
  • Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
  • Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
  • Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.
Benefits
  • Competitive salary
  • Flexible work schedule & part-time off
  • E-verified
  • No relocation
  • H1B filing
  • On job technical support
  • Skill Enhancement
  • Opportunity to work with Fortune 500 Companies
Who Should Apply?

Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you.

Candidate's Outcome

: Best Programmers in USA | Best Coding Bootcamp - SynergisticIT