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Entry Level Ai Data Scientist Jobs (NOW HIRING)

Data Scientist

Atlanta, GA ยท On-site

$90 - $95/hr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive ...

Data Scientist

Atlanta, GA ยท On-site

$90 - $95/hr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive ...

C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery. This role requires US Citizenship Responsibilities:

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Data Science and AI Development: Develop skills in writing efficient, reusable code to prepare data ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Data Science and AI Development: Develop skills in writing efficient, reusable code to prepare data ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Data Science and AI Development: Develop skills in writing efficient, reusable code to prepare data ...

Showing results 41-60

Entry Level Ai Data Scientist information

See salary details

$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.

More about Entry Level Ai Data Scientist jobs

What cities are hiring for Entry Level Ai Data Scientist jobs?

Cities with the most Entry Level Ai Data Scientist job openings:

What are the most commonly searched types of Ai Data Scientist jobs?

The most popular types of Ai Data Scientist jobs are:

What states have the most Entry Level Ai Data Scientist jobs?

States with the most job openings for Entry Level Ai Data Scientist jobs include:

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 - Generative AI Applications

AA2IT

Durham, NC โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
AA2IT is seeking an experienced Data Scientist to join their team, focusing on the development and deployment of Generative AI solutions in a commercial business setting. The role involves working with advanced technologies to deliver actionable insights and solutions to business challenges.
Responsibilities:
โ€ข Model Development: Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation aimed at solving complex business problems and enhancing the decision-making process.
โ€ข Vector Database Management: Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.
โ€ข LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs).
โ€ข NLP Techniques: Implement and experiment with cutting-edge NLP and similar techniques to enhance the capabilities and performance of our AI products.
โ€ข Collaborate with cross-functional teams, including business units and platform/software engineers, to identify opportunities for integrating Generative AI models into production systems, ensuring scalability, reliability, and performance.
โ€ข Stay up-to-date with the latest advancements in Generative AI and data science technologies.
โ€ข Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
Qualifications:
Required:
โ€ข Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
โ€ข Proven experience in developing and deploying Generative AI models in business settings.
โ€ข Strong programming skills in Python, R, or similar languages.
โ€ข Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy.
โ€ข Solid understanding of statistical analysis and data visualization techniques.
โ€ข Excellent problem-solving skills and the ability to work independently and collaboratively.
โ€ข Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Preferred:
โ€ข Experience with natural language processing (NLP) and computer vision applications.
โ€ข Familiarity with cloud platforms such as Azure.
โ€ข Experience in project management and leading data science initiatives.
Company:
Aamazing IT offers IT solutions, Salesforce consulting, AI, data analytics, and staffing services. Founded in , the company is headquartered in Sugar Land, USA, with a team of 201-500 employees. The company is currently Growth Stage.