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

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Junior Data Analyst

Parsippany Troy Hills, NJ · On-site

$30 - $35/hr

Entry-Level Python Developer Fulltime Candidate Must be open to relocate We are looking for a ... Bachelor's degree in Computer Science, Information Technology, or a related field. * 0-2 years of ...

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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Entry Level Data Science information

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

As of Jul 17, 2026, the average hourly pay for entry level data science in Montclair, NJ is $19.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.78 per hour, depending on experience, location, and employer.

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 languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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 languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Montclair, NJ? The most popular types of Data Science jobs in Montclair, NJ are:
What are popular job titles related to Entry Level Data Science jobs in Montclair, NJ? For Entry Level Data Science jobs in Montclair, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Montclair, NJ look for? The top searched job categories for Entry Level Data Science jobs in Montclair, NJ are:
What cities near Montclair, NJ are hiring for Entry Level Data Science jobs? Cities near Montclair, 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 Montclair, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Hybrid job distribution, with an average salary of $40,383 per year, or $19.4 per hour.

Entry Level Business Analyst

Data Cloud Merge

New York, NY

Full-time

Re-posted 25 days 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
  • Create and maintain business requirements, process flows, use cases, and gap analysis in a Waterfall environment.
  • Create a Business Requirements Document (BRD), Functional Requirements Document (FRD), analyze data/workflows and define the scope.
  • Participate in Gap Analysis to identify the current system's deficiencies and the requirements for the changes in the proposed system.
  • Conduct JAD sessions to develop a business solution that application meets business requirements, resolve open issues, and change requirements.
  • Create and configure new JIRA projects and worked with departments to maintain existing JIRA projects.
Qualifications
  • Master's/Bachelor's in Science, Engineering, Information Management, or a related field is highly desirable.
  • Knowledge of all SDLC phases, including requirements gathering, documenting, and testing.
  • Demonstrated ability to quickly learn new business and technical concepts in a fast-paced service-focused environment.
  • Excellent analytical reasoning, problem-solving, time management, and organizational skills.
Additional Information

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