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

Cognizant

Frontier Certified Engineer (FCE)

Teaneck, NJ · On-site

$90 - $110/hr

Candidates with backgrounds in Computer Science, Software Engineering, Information Systems, Data ... This is an entry-level opportunity. We encourage candidates to apply even if they do not meet every ...

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 ...

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Entry Level Data Science information

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$11

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$28

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

As of Sep 3, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,352 per year, or $19.9 per hour.

Tech Consultant, Analytics & Investigations (Entry Level)

MERCY COLLEGE

Dobbs Ferry, NY • On-site

Other

Posted 15 days ago

Job description

2027 Entry Level Consultant – Technology

Recruitment began on July 27, 2026

and the job listing Expires on September 19, 2026

Are you an innovative, collaborative, and highly motivated student who is looking to exercise their entrepreneurial spirit in the workplace? FTI Consulting is looking to invest in your future and the future of FTI Consulting by considering you for a full-time Consultant opportunity upon graduation.

Candidates would jumpstart their career with FTI Consulting between July 2027 – September 2027.

Campus Recruiting/Skills Accelerate Program

Skills Accelerate is a multi-year program designed to cross-train recent college graduates on a wide range of skills and client matters across many of FTI Technology’s service lines based on client demand.Skills Accelerate is currently hiring two roles:

Our technology consultants work with corporations, governments and law firms to meet critical legal and regulatory needs, including investigations, e-discovery, information governance, digital forensics, data privacy, document review consulting as well as project management. Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management.

Advanced Analytics Researcher

Our advanced analytics researchers work closely with corporate clients and law firms to play a critical role within our Find Facts Fast (FFF) service, conducting investigative fact-finding with advanced analytics to mine large datasets and perform substantive research and analysis to quickly identify case-critical documents and prepare comprehensive summaries and documentation of the material facts, key issues and themes for strategic decision-making. Advanced Analytics Researchers will learn and develop a range of skills in FTI’s Find Facts Fast and advanced analytics research, and also around e-discovery and document review consulting.

What You’ll Do

As a Consultant, you will become a member of a project team and work closely with our professionals and senior leaders to meet our clients’ needs. We strongly recommend you take time to educate yourself on the Technology segment, one of our five business segments, as well as the practice areas within Technology on our Careers Site . While submitting your application, you will have the opportunity to select your practice area and location based on your interests.

The available practices and market locations for this segment are listed below:

  • Location(s): Atlanta, GA; Chicago, IL; Houston, TX; Los Angeles, CA; New York, NY; San Francisco, CA; Washington, DC

Advanced Analytics

How You’ll Grow

We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You will be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.

As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role.

What You Will Need To Succeed

Basic Qualifications

  • Actively pursuing a full-time bachelor’s degree or completing a fifth-year master’s program with a graduation date between May 2026 – August 2027.
  • Applicants must be authorized to work in the United States on a full-time basis as a full-time employee; this position does not provide visa sponsorship.
  • Ability to travel to clients and FTI Consulting office(s)

Preferred Qualifications

  • Major(s):
    • Technology:Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics, Economics, Information Technology Management, Management Information Systems, Law, Pre-Law, International Law, Risk Management
    • Advanced Analytics:History, Art History, Journalism, Investigative Journalism, Law, Pre-Law, International Law, Library Science, Legal Studies, Linguistics, Philosophy, Political Science, Research & Analysis/Legal Research, Risk Management

Recruiting Process & Timeline

  • Application Process: Apply to your preferred business segment posting (Corporate Finance, Economic Consulting, Technology, Strategic Communications, Forensic & Litigation Consulting). We recommend applying to no more than 2 segment applications.
  • Application Timeline: Please note; candidates who apply by the Priority Deadline of August 28 may receive earlier consideration, depending on team hiring timelines.
    • Applications Open: July 27
    • Priority Deadline: August 28
    • Final Deadline: September 18
  • Pre-Recorded Video Interview: To be fully considered for this opportunity, candidates must complete the Pre-Recorded Video Interview for each application submitted. Candidates should expect to receive an invitation, along with additional details, within 2 business days of submitting your application.
  • Candidate Status: Candidates will be notified of their application status and potential next steps within 1 week of applications closing on September 18.
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