1

Data Science Entry Jobs in New York (NOW HIRING)

Be Seen First

Data Entry Operator

Denville, NJ · Remote

$19/hr

  • Medical

  • Dental

  • Vision

This is a strong opportunity to build hands-on experience with master data management, data governance, and life sciences customer data in a process-driven environment. RESPONSIBILITIES · Review and ...

Data Entry and Word Processing

Brooklyn, NY · On-site

$22 - $23/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform data entry, verification, report preparation, tracking and monitoring records, processing ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Data and Transformation Associate

Manhattan, NY · On-site

$17.75 - $22.75/hr

Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field. * Academic or internship-based knowledge of databases, web ...

Data and Transformation Associate

Manhattan, NY · On-site

$17.50 - $22.75/hr

Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field. * Academic or internship-based knowledge of databases, web ...

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field. Experience: * Ability to work in a fast-paced, collaborative environment. * Excellent ...

Medical Data Entry- Hybrid

Basking Ridge, NJ · On-site

$17.25 - $20.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

IVI RMA is seeking a full-time Billing Coordinator- Medical Data Entry to join our growing team in ... science. Check out our websites at: www.bostonivf.com & EEO "IVIRMA is an Equal Opportunity ...

Medical Data Entry - Hybrid

Basking Ridge, NJ · On-site

$17.25 - $20.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry into our billing system * Document progress and office notes in our internal EMR (Artemis ... science. Check out our websites at: Job Type: Full-time Benefits: * 401(k) * Dental insurance

Data Entry/Registration Clerk

Brooklyn, NY · On-site

$50K - $60K/yr

  • Medical

  • Retirement

... and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 ... data; or 3. A four-year high school diploma or its educational equivalent, and four years of ...

Data Entry/Registration Clerk

Brooklyn, NY · On-site

$18 - $24/hr

  • Medical

  • Retirement

... and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 ... data; or 3. A four-year high school diploma or its educational equivalent, and four years of ...

Data Entry/Registration Clerk

Brooklyn, NY · On-site +1

$18.50 - $25/hr

  • Medical

  • Retirement

... and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 ... data; or 3. A four-year high school diploma or its educational equivalent, and four years of ...

next page

Showing results 1-20

Data Science Entry information

See New York salary details

$12

$21

$31

How much do data science entry jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data science entry in New York is $21.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.94 per hour, depending on experience, location, and employer.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically serve as starting points for careers in data science and may require relevant internships, coursework, or certifications.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is it possible to get a data science entry-level job with no experience?

Data science entry-level positions often require some foundational skills in programming, statistics, and data analysis, but many employers consider candidates with relevant coursework, certifications, or personal projects even without formal work experience. Building a portfolio with projects using tools like Python, R, or SQL can improve chances of securing such roles. Internships and apprenticeships also provide pathways for those new to the field.
Infographic showing various Data Science Entry job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,313 per year, or $21.3 per hour.

Senior Data Scientist, Google Maps Growth

Google Inc.

Manhattan, NY • On-site

$163 - $236/hr

Other

Posted 7 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies


Job description

Senior Data Scientist, Google Maps Growth

Google Mountain View, CA, USA ; New York, NY, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Qualifications
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
Preferred qualifications
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
About the job

Geo Consumer Data Scientists mission is to drive positive user and business outcomes at Geo by enabling and advocating data driven decision making. We partner closely across all functions to ensure that the teams work and ambition aligns with themes at the Geo level and to guide our investments in growing our data science capabilities.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities
  • Lead Product Data Science for Reach Growth as a counterpart to a cross-functional team, enforcing measurement frameworks, owning experimentation, and conducting in-depth investigations to understand trends and steer product strategy.
  • Identify and quantify opportunities to optimize key geospatial user journeys across entry points and ingress channels by performing logs-based analyses across data sources, running experiments, and influencing stakeholders.
  • Model cross-Product Area user journeys and conduct analyses on evolving engagement dynamics to eliminate gaps in strategy across Google.
  • Define and implement success metrics frameworks to enable cross-Product Area decision-making and measure the impact of new growth integrations. Present metrics and insights at executive reviews.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

#J-18808-Ljbffr

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom