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Entry Level Data Science Jobs in Queens, NY (NOW HIRING)

Gain America

Entry Level Data Scientist

Hicksville, NY · On-site

$70K/yr

... 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 ...

VHB

Entry Level Data Architect

New York, NY · Hybrid

$95K - $98K/yr

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related ...

VHB

Entry Level Data Architect

New York, NY · Hybrid

$95K - $98K/yr

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Bachelor's degree in computer science, Information Systems, Data Science, Engineering, or a related ...

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AML/Sanctions- Data Scientist- Associate

New York, NY · On-site

$63K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Capgemini

Junior AI Data Scientist/Engineer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a motivated entry-level professional with a strong foundation in Computer Science and a passion for working with data. This role is ideal for recent graduates who have completed ...

SynergisticIT

Backend Developer - Remote

Piscataway, NJ · On-site

$50.50 - $65.50/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

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Entry Level Data Science information

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$11

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

As of Aug 18, 2026, the average hourly pay for entry level data science in Queens, NY is $19.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.31 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.

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 gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science 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, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Queens, NY?

The most popular types of Data Science jobs in Queens, NY are:

What are popular job titles related to Entry Level Data Science jobs in Queens, NY?

For Entry Level Data Science jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Queens, NY look for?

The top searched job categories for Entry Level Data Science jobs in Queens, NY are:

What cities near Queens, NY are hiring for Entry Level Data Science jobs?

Cities near Queens, NY 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 Queens, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $41,352 per year, or $19.9 per hour.

Entry Level Data Scientist

Gain America

Hicksville, NY • On-site

$70K/yr

Contractor

Re-posted 27 days ago

Job description

Job description
Required Skills
Excellent analytical, written and verbal communication skills
Required Experience
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
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

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