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Entry Level Data Science Jobs in Commack, NY (NOW HIRING)

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 ...

SynergisticIT

Python Programmer (Hybrid)

Norwalk, CT · On-site

SynergisticIT Job Opportunity SynergisticIT is looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all ...

Hire Frontier

Entry Level Office Assistant

New York, NY · Remote

$54K - $60K/yr

Students pursuing degrees in Business, Human Resources, Computer Science, or related fields are ... Perform general office and clerical duties, including filing, data entry, document preparation, and ...

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 ...

Hire Frontier

Entry Level Office Assistant

New York, NY · Remote

$54K - $60K/yr

Students pursuing degrees in Business, Human Resources, Computer Science, or related fields are ... Perform general office and clerical duties, including filing, data entry, document preparation, and ...

Simulmedia

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

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

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 ... Data Science, or related field ● 0-2 years of professional experience (personal projects ...

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Entry Level Data Science information

See Commack, NY salary details

$10

$19

$27

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

As of Jul 7, 2026, the average hourly pay for entry level data science in Commack, NY is $19.73, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $22.16 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no 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, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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 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 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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Commack, NY? The most popular types of Data Science jobs in Commack, NY are:
What are popular job titles related to Entry Level Data Science jobs in Commack, NY? For Entry Level Data Science jobs in Commack, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Commack, NY look for? The top searched job categories for Entry Level Data Science jobs in Commack, NY are:
What cities near Commack, NY are hiring for Entry Level Data Science jobs? Cities near Commack, 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 15 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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