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Entry Data Scientist Jobs (NOW HIRING)

Matrix Sciences

Data Entry Technician

Horsham, PA · On-site

$16.75 - $22/hr

Matrix Sciences International Inc. provides a uniquely comprehensive scope of laboratory, advisory ... The Data Entry Technician performs all paperwork, technical and non-technical procedures required ...

Cognixia

Data Entry (Part-Time)

Atlanta, GA · On-site

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Problem solving skill Previous Data Entry exp. Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration ...

Cognixia

Data Entry (Part-Time)

Atlanta, GA

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Problem solving skill Previous Data Entry exp. Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration ...

Cognixia

Data Entry (Part-Time)

Atlanta, GA · On-site

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Problem solving skill Previous Data Entry exp. Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration ...

General Motors

Staff Data Scientist

Warren, MI · On-site

$184K - $233K/yr

Identifying detailed data needs, sources, and structure to support solution development ... THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A ...

AllJobs

Data Entry Clerk

$600 - $1.4K/wk

About the job Data Entry Clerk Full Time Data Entry Jobs $600.00-$1400.00 weekly As a Data Entry ... Science degree or previous work in a laboratory is an asset.

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Entry Data Scientist information

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How much do entry data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

Can you get an entry data scientist job with no experience?

Entry data scientist roles typically require some background in programming, statistics, or related fields, but candidates with no formal experience can improve their chances by completing relevant coursework, projects, or certifications in tools like Python, R, or SQL. Building a portfolio of data analysis projects and gaining familiarity with common data science environments can also help demonstrate skills to employers.

What are the key skills and qualifications needed to thrive as an entry data scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

What is the difference between Entry Data Scientist vs Data Analyst?

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

How to become an entry data scientist without experience?

To become an entry-level data scientist without 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.
More about Entry Data Scientist jobs
What cities are hiring for Entry Data Scientist jobs? Cities with the most Entry Data Scientist job openings:
What states have the most Entry Data Scientist jobs? States with the most job openings for Entry Data Scientist jobs include:
What job categories do people searching Entry Data Scientist jobs look for? The top searched job categories for Entry Data Scientist jobs are:
Entry Data Scientist jobs near you
Infographic showing various Entry Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Associate Research Scientist (Part-Time)

New York University

New York, NY • On-site

$26/hr

Part-time

Re-posted 7 days ago

New York University rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

95th of 616 rated colleges and universities

Job description

Description
The Infant Studies of Language and Neurocognitive Development (ISLAND) lab at NYU, directed by Dr. Natalie H. Brito, is seeking a part-time Associate Research Scientist to being as early as December 2025. The Associate Research Scientist will work with a team of postdocs, graduate students, and undergraduate researchers and on projects examining early trajectories of brain and behavior during infancy and toddlerhood. You can find out more about Dr. Brito's lab at www.britobabylab.com.
Associate Research Scientist Responsibilities:
  • Conducting studies with families (e.g., recruiting, scheduling, and data collection)
  • Performing general administrative duties (e.g., data management and overseeing participant data entry)
  • Data processing and coding

In compliance with NYC's Pay Transparency Act, the hourly base rate for this position is $26/hour. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Per NYU's remote-work policy, this position is expected to be fully in-person.
This position does not have any supervisory responsibilities.
Qualifications
Required Qualifications:
  • Bachelor's degree or previous experience collecting data within a developmental psychology lab
  • Ability to interact warmly and professionally with caregivers and children
  • Strong organizational and problem-solving skills are essential
  • Excellent interpersonal communication skills
  • Ability to work independently and collaboratively as a team
  • Availability for flexible scheduling, including evenings and weekends for data collection

Preferred Qualifications:
  • Previous research experience
  • Spanish fluency

Application Instructions
Review of applications will begin immediately and continue until the position is filled. Interested individuals should upload a (1) cover letter describing their interests and relevant experience, (2) CV/resume, and (3) names and contact information of two references to Interfolio.

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About New York University

Sourced by ZipRecruiter

Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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