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Entry Level Data Science Jobs in New Rochelle, NY

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... 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 ...

DataAnnotation

Data Scientist

Manhattan, NY · Remote

$40/hr

Applied skills in Statistics and/or Computer Science. Benefits This is a full-time or part-time ... Seniority level Entry level Employment type Full-time Job function Engineering and Information ...

Blue Nile

Business Intelligence Intern

New York, NY · On-site

$17 - $20/hr

A strong foundation for entrylevel roles in analytics, data science, data engineering or business strategy and clarity on what career path excites you most. Additional Information: R2NET INC. is an ...

Hadronts

Entry Level Java developer

Jersey City, NJ

Perform data analysis to support internal and external project needs. Design basic programs for ... Bachelor's/Master's degree, preferably in Computer Science, Information Technology, Computer ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Science, Business, Data Science, or related field 0-2 years of professional experience (personal ...

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Entry Level Data Science information

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$10

$19

$27

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

As of May 30, 2026, the average hourly pay for entry level data science in New Rochelle, NY is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $22.02 per hour, depending on experience, location, and employer.

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 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 entry level data science jobs?

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 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.

What are popular job titles related to Entry Level Data Science jobs in New Rochelle, NY? For Entry Level Data Science jobs in New Rochelle, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in New Rochelle, NY look for? The top searched job categories for Entry Level Data Science jobs in New Rochelle, NY are:
What cities near New Rochelle, NY are hiring for Entry Level Data Science jobs? Cities near New Rochelle, NY with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you

Entry Level Data Scientist job

GainAm

Hicksville, NY • On-site

$70K/yr

Full-time

Posted 7 days ago

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

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