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Entry Level Ai Data Scientist Jobs in Springfield, MO

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Entry Level Ai Data Scientist information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

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

As of Aug 21, 2026, the average yearly pay for entry level ai data scientist in Springfield, MO is $111,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 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.

What are the most commonly searched types of Ai Data Scientist jobs in Springfield, MO?

The most popular types of Ai Data Scientist jobs in Springfield, MO are:

What are popular job titles related to Entry Level Ai Data Scientist jobs in Springfield, MO?

For Entry Level Ai Data Scientist jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Scientist jobs in Springfield, MO look for?

The top searched job categories for Entry Level Ai Data Scientist jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Entry Level Ai Data Scientist jobs?

Cities near Springfield, MO with the most Entry Level Ai Data Scientist job openings:

Entry Level Ai Data Scientist jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Springfield, MO • Remote

$90 - $120/hr

Part-time

Posted 24 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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