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Entry Level Data Scientist Jobs in New York (NOW HIRING)

... 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 ...

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

Data Scientist Hybrid in New York Must work W2 - Cannot provide sponsorship! Description • Deal ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

Data Scientist Hybrid in New York Must work W2 - Cannot provide sponsorship! Description • Deal ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

Data Scientist

Manhattan, NY · On-site

$88K - $110K/yr

... Data science, Sql, snowflake, azure, financial analytics, CRE data providers Top Skills Details ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

Mid-Level Data Analyst

Newark, NJ · On-site

$40K - $60K/yr

Entry-Level Data AnalystCawley & Bergmann, LLCNewark, NJFull-Time | On-SiteSalary: $40,000-$60,000 ... Technology, Computer Science, Data Analytics, Business Analytics, or a related field ...

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 ...

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Showing results 1-20

Entry Level Data Scientist information

See New York salary details

$50.3K

$180.5K

$266.4K

How much do entry level data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for entry level data scientist in New York is $180,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,000.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
More about Entry Level Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in New York?

The most popular types of Data Scientist jobs in New York are:

What are popular job titles related to Entry Level Data Scientist jobs in New York?

For Entry Level Data Scientist jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist jobs in New York look for?

The top searched job categories for Entry Level Data Scientist jobs in New York are:

What cities in New York are hiring for Entry Level Data Scientist jobs?

Cities in New York with the most Entry Level Data Scientist job openings:

Infographic showing various Entry Level Data Scientist job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $180,535 per year, or $86.8 per hour.

Entry Level Data Scientist

Gain America

Hicksville, NY • On-site

$70K/yr

Contractor

Re-posted 18 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