2

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

Data Analyst I

Newton, NJ · On-site

$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 ...

Entry Level Data Science information

See Newton, NJ salary details

$10

$19

$27

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

As of Aug 7, 2026, the average hourly pay for entry level data science in Newton, NJ is $19.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $22.21 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.

What cities near Newton, NJ are hiring for Entry Level Data Science jobs? Cities near Newton, NJ with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Newton, NJ as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $41,171 per year, or $19.8 per hour.

Data Analyst I

Thorlabs

Newton, NJ • On-site

$72K - $94K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Thorlabs rating

7.8

Company rating: 7.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

68th of 156 rated electronics manufacturers


Job description

At Thorlabs, we design and manufacture components, instruments, and systems that transform the world by identifying, enabling, and accelerating key photonics (i.e., light-based) technologies. Backed by a dedicated workforce of more than 3,000 employees worldwide, Thorlabs contributes to cutting-edge research and real-world innovation.

Whether you're early in your career or bringing years of experience, you'll find opportunities to grow, take ownership, and make meaningful contributions from day one. We know every employee brings unique talents and perspectives that fuel our success, and we seek driven individuals who are excited to make an impact in a fun, fast-moving culture.

The responsibilities of this position are to assist the TAP data team with the collection, organizing, and analysis of Thorlabs' various data sets. The range of these data sets include manufacturing, engineering, marketing, sales, pricing, and ERP. The Data Analyst will be able to autonomously analyze qualitative data, trends, strategies, and markets aimed at increasing the company's competitiveness. Although the location of the position is in Newton, NJ, from time to time it may be required to undertake duties at other Thorlabs locations.

Essential Job Functions include the following, but are not limited to:

  • Collect, clean, and analyze large datasets from various sources to identify patterns, trends, and correlations using tools such as SQL, Python, or Power BI.
  • Develop and implement data models, algorithms, and statistical techniques to extract insights and generate reports, dashboards, and visualizations that inform data-driven decision-making.
  • Conduct thorough data validation and quality assurance checks to ensure accuracy, integrity, and consistency of data.
  • Interpret data findings and provide actionable recommendations to stakeholders, including business leaders and other relevant teams, to drive business performance and optimize operational processes.
  • Collaborate with cross-functional teams to develop and execute data-driven strategies that align with business objectives.
  • Stay up to date with industry trends, emerging technologies, and best practices in data analysis, and apply them to improve data-driven decision-making within the organization.
  • Participate in data governance initiatives, including data documentation, data lineage, and data security, to ensure compliance with regulatory requirements and data standards.
  • Lead improvement initiatives where needed.
  • Determine and clarify strategic and operational issues via consultation.
  • Track success of key initiatives (Corporate Initiatives, Kaizens, Product Line Reviews).
  • Aid Managers/Supervisors in area performance capture and presentation.
  • Compile and present information verbally, visually and in writing
  • Occasionally lead operational training initiatives

In addition to the essential functions and duties listed above, all positions are also responsible for:

  • Meeting company standards pertaining to quantity and quality of work performed on an ongoing basis, performing all work-related tasks in a manner that is compliant with all Company policies and procedures.
  • Adhering to Company policies, procedures, and directives regarding standards of workplace behavior in completing job duties and assignments.

The Company retains the right to change or assign other duties to this position.

Annual salary range for this position is $72,000 - $94,000 depending on experience

Requirements

Experience:

  • Entry level to 1 year experience with data visualization best practices and the ability to create visually compelling reports, dashboards, and visualizations that effectively communicate complex data findings to non-technical stakeholders.
  • Familiarity with data validation, data quality assurance, and data cleansing techniques to ensure data accuracy, integrity, and consistency.

Education:

  • Bachelor's degree in Data Analytics, Business Analytics, Computer Science or related fields

Specialized Knowledge and Skills:

  • Strong proficiency with data analysis techniques and tools, such as SQL, Python, Power BI, or Excel.
  • Knowledge of data modeling, data warehousing, and data integration concepts.
  • Ability to apply critical thinking and problem-solving skills to analyze data, identify patterns, trends, and correlations, and provide actionable recommendations for business decision-making.
  • Excellent communication skills, both written and verbal, with the ability to effectively communicate complex data findings to diverse audiences.
  • Experience with machine learning, predictive analytics, or data mining techniques is a plus.

Thorlabs values its diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law

Benefits

Thorlabs offers a complete benefits package that includes medical, dental and vision insurance, company paid life insurance, a generous PTO package, a 401(k) plan, and tuition reimbursement just to name a few.


What Thorlabs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom