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Entry Level Ai Data Scientist Jobs (NOW HIRING)

SC Works Trident

$55 - $75/hr

Data Scientist /data analyst entry level /AI /software programmer(Remote) Occupation: Data Scientists Location: Savannah, GA - 31401 Job Type: Full Time (30 Hours or More) Posted: 03/23/2026 ...

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

Our client is seeking an AI Data Scientist for a direct hire opportunity in North Phoenix, AZ or Hillsboro, OR. This role sites onsite 4 days a week and 1 day will be remote. The AI Data Scientist ...

T Rowe Price

AI Data Scientist

Manhattan, NY · Hybrid

Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science ...

Consip S.P.A.

NY · On-site

$80 - $120/hr

Persone che guardino al futuro con curiosità, concretezza e spirito di innovazione, per contribuire alla crescita dell'Azienda e del Sistema Paese. L' AI Data Scientist , in particolare, adotta ...

Ingredion

AI & Data Scientist Intern

Westchester, IL · On-site

$20 - $25/hr

HybridThe AI & Data Scientist Intern will be assisting in the managing, designing, developing, and deploying of scalable and robust artificial intelligence and machine learning solutions for various ...

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

Position Summary The Buck Institute for Research on Aging is seeking an exceptional, highly motivated AI Data Scientist / Agentic AI Engineer to join a collaborative research team focused on aging ...

AIToolboard

$60 - $90/hr

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot Development Full-time About the Role The Asia Group (TAG) is now accepting applications for a ...

Amtex Enterprises Inc

$120 - $170/hr

AI Data Scientist Duration: 6+ Months Location: Can be fully remote. Candidates in EST or CST highly preferred. We are looking for a senior practitioner who has successfully built and deployed at ...

New

Amtex Enterprises Inc

AI Data Scientist

Princeton, NJ · On-site

$120 - $170/hr

AI Data Scientist Duration: 6+ Months Location: Can be fully remote. Candidates in EST or CST highly preferred. We are looking for a senior practitioner who has successfully built and deployed at ...

New

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY · On-site

$72K - $212K/yr

... an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

... an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$72K - $212K/yr

... an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Sep 7, 2026, the average yearly pay for entry level ai data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an entry level AI data scientist do?

An Entry Level AI Data Scientist assists in collecting, cleaning, and analyzing data to help build and improve artificial intelligence models. They work closely with senior data scientists to implement machine learning algorithms, prepare datasets, and interpret results. Their responsibilities often include coding in languages like Python, working with data visualization tools, and learning about AI concepts and best practices. This role is ideal for individuals early in their data science careers who are eager to gain practical experience in AI-driven projects.

What typical projects might an entry level AI data scientist work on, and how do they contribute to the team?

As an entry-level AI data scientist, you will often be involved in supporting data collection, cleaning, and preprocessing tasks to ensure datasets are ready for model development. You'll also assist in building and evaluating machine learning models, often under the guidance of senior data scientists or engineers. Your work is crucial in providing the foundational analysis and insights that inform larger AI initiatives, and you'll regularly collaborate with cross-functional teams such as software developers, product managers, and business analysts to translate business needs into actionable data science solutions.

What are the key skills and qualifications needed to thrive as an entry level AI data scientist, and why are they important?

To thrive as an Entry Level AI Data Scientist, a solid grounding in mathematics, statistics, and programming (often with Python or R), alongside a relevant bachelor's or master's degree, is essential. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and cloud platforms is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help newcomers collaborate and translate data-driven insights for stakeholders. These skills enable data scientists to efficiently build models, interpret complex data, and contribute real value to business objectives.

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

AspectEntry Level Ai Data ScientistData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; knowledge of AI/ML toolsBachelor's in Statistics, Math, or related field; proficiency in data visualization and SQL
Work EnvironmentDeveloping AI models, machine learning algorithms, programming in Python/RData cleaning, reporting, creating dashboards, analyzing datasets
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, marketing sectors

Entry Level Ai Data Scientists focus on developing AI and machine learning models, requiring programming and AI-specific skills. Data Analysts primarily interpret data, create reports, and visualize information. While both roles analyze data, AI Data Scientists work more on building predictive models, whereas Data Analysts focus on descriptive analytics.

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Entry Level Ai Data Scientist jobs near you
Infographic showing various Entry Level Ai Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist /data analyst entry level /AI /software programmer(Remote)

SC Works Trident

On-site

$55 - $75/hr

Other

Posted 5 days ago

Job description

Data Scientist /data analyst entry level /AI /software programmer(Remote)

Occupation: Data Scientists Location: Savannah, GA - 31401 Job Type: Full Time (30 Hours or More) Posted: 03/23/2026

Positions available: 1 Source: SynergisticIT Web Site: www.synergisticit.com Onsite / Remote: Work at home all of the time

Job #: 24-02321

Type of Job: Not Available Full or Part Time: Full Time (30 Hours or More) Job Duration: Not Available

Minimum Experience Required: Not Available

Minimum Education Level Required: Not Available Required License/Certification: Not Available

Occupation Information for Data Scientists

Data Scientists - Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

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