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

Omnicom

Analyst, Business Analytics

New York, NY · On-site

Data Science and Analytics Performs routine assignments using existing procedures within a job ... This level may include individuals in entry level roles, typically graduates. Extracts actionable ...

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 Aug 9, 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.

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 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 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $40,383 per year, or $19.4 per hour.

Analyst, Business Analytics

Omnicom

New York, NY • On-site

Full-time

Posted 26 days ago

Job description

Agency:
Hearts & Science
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
Performs routine assignments using existing procedures within a job discipline to solve routine or standard problems and generally receive instruction, guidance and direction from more experienced colleagues or supervisors.
The position may require a degree, formal education, or relevant prior work experience. This level may include individuals in entry level roles, typically graduates.
Extracts actionable insights from high volume, high dimensional data to investigate complex business and marketing problems and inform decision making. Applies a range of data preparation, analytical, modelling, and visualization techniques-including statistical analysis, predictive modelling, experimentation, pattern recognition, and AI/advanced analytics tools-to generate insights that improve business performance and outcomes.
Analyzes business, customer, operational, and market data to identify trends, optimize effectiveness, and forecast future performance. Develops and maintains analytics outputs such as reports, dashboards, and visualizations using data platforms and tools (e.g., ERP/CRM systems, relational or NoSQL databases, business intelligence and analytics software), and may create custom scripts, models, or leverage AI enabled approaches to enhance analysis and insight generation.
May contribute to advanced analytics initiatives such as marketing mix modelling, cross channel measurement, and strategic insight development to optimise investment decisions, media effectiveness, and marketing performance across channels and platforms.New York $34,000.00 - $60,000.00
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

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