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Data Science Entry Jobs in New York (NOW HIRING)

CYNET SYSTEMS

Data Entry and Word Processing

Brooklyn, NY · On-site

$22 - $23/hr

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

New

CYNET SYSTEMS

Data Entry and Word Processing

Brooklyn, NY · On-site

$22 - $23/hr

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

New

Valley Bank

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 ...

New

Welocalize, Inc.

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 ...

Welocalize, Inc.

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 ...

New York University

Data Manager (Full-Time)

New York, NY · On-site

$60K - $70K/yr

Implement protocols for data collection, entry, storage, quality assurance, and security. * Support ... Master's degree in Public Health, Epidemiology, Biostatistics, Data Science, or a related field;

City of New York

Data Entry/Registration Clerk

Brooklyn, NY · On-site +1

$18.50 - $25/hr

... 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 ...

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How much do data science entry jobs pay per hour?

As of Aug 1, 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.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

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 are Data Science Entry jobs?

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.

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

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

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 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.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $44,313 per year, or $21.3 per hour.

Data Analyst/Engineer - Entry Level

SynergisticIT

Manhattan, NY • On-site

Other

Posted 21 days ago

Job description

Junior Data Engineer — Build the Backbone of Data-Driven Teams Data engineering is a powerful path for candidates who like databases, pipelines, Python, SQL, and systems thinking. Data scientists and analysts depend on clean, accessible, reliable data—and data engineers help make that possible. Entry-level candidates can stand out by showing they understand data movement, transformation, storage, and workflow basics. SynergisticIT is seeking candidates interested in SQL, Python, ETL, data pipelines, databases, data modeling, cloud data tools, analytics engineering, and data warehouse concepts. This opportunity is ideal for candidates who want to build a technical data career beyond dashboards or notebooks. SynergisticIT JOPP is good for junior data engineering candidates because it helps them develop practical technical depth and job-ready proof. Candidates can work toward stronger projects, better resume alignment, interview preparation, and clearer positioning for data engineering, data analyst, and data science-adjacent roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. 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 full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If you want to build the systems behind modern data teams, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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