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Entry Level Data Analyst Ai Jobs in Boca Raton, FL

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Data Engineer

Hollywood, FL ยท On-site

$190K/yr

These risks become more important as World Emblem builds AI agents, analytics products, and internal MicroSaaS applications that depend on trusted data. Key Responsibilities1. Data Audit and Current ...

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Data Analysis Tutor

Miramar, FL ยท Remote

$40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Data Analysis Tutor

Sunrise, FL ยท Remote

$40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Required : โ€ข Proven success and ownership of analytics work end to end, including data ... AI โ€ข Tensor Flow, Azure Machine Learning Studio or similar tools Company : QDStaff connects ...

Showing results 21-40

Entry Level Data Analyst Ai information

See Boca Raton, FL salary details

$12

$31

$58

How much do entry level data analyst ai jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level data analyst ai in Boca Raton, FL is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $34.90 per hour, depending on experience, location, and employer.

What is an entry level data analyst AI?

Entry level data analyst AI jobs involve collecting, cleaning, and interpreting data to help organizations make informed decisions, with a focus on supporting artificial intelligence projects. These roles may include preparing datasets for machine learning models, analyzing trends, and creating reports or visualizations. While these positions require strong analytical and problem-solving skills, they are suitable for those beginning their career in data analysis and AI, often requiring knowledge of basic programming languages, statistics, and data tools.

What are the key skills and qualifications needed to thrive as an entry level data analyst AI?

To thrive as an Entry Level Data Analyst, you need a solid understanding of statistics, data cleaning, and foundational analytics concepts, often supported by a degree in a related field such as mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software (e.g., Tableau or Power BI), as well as basic knowledge of programming languages like Python or R, is typically expected. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for clearly interpreting and presenting data insights. These skills and qualifications are vital for accurately analyzing data, supporting business decisions, and effectively collaborating with team members.

What are some common challenges faced by entry level data analysts working with AI projects, and how can they overcome them?

Entry-level Data Analysts in AI projects often face challenges such as understanding complex data structures, adapting to rapidly evolving tools, and interpreting results from advanced machine learning models. Collaborating closely with data scientists and engineers can help bridge knowledge gaps and foster learning. Staying proactive in seeking mentorship, participating in code reviews, and dedicating time to continuous learning are effective strategies to overcome these hurdles and quickly grow in the role.

How to become an entry level data analyst AI?

To become an entry-level data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain familiarity with AI and machine learning concepts. Earning relevant certifications or completing online courses can also improve your prospects, along with experience using tools such as SQL, Excel, and data visualization software.

Is an entry level data analyst in demand with AI?

Entry level data analysts are in increasing demand as AI technologies expand, requiring skills in data manipulation, statistical analysis, and tools like Python or SQL. Organizations seek these roles to interpret data for AI model development and decision-making, making it a growing field for new professionals.

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Cities near Boca Raton, FL with the most Entry Level Data Analyst Ai job openings:

Infographic showing various Entry Level Data Analyst Ai job openings in Boca Raton, FL as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $64,992 per year, or $31.2 per hour.

Computational Biologist - AI Reviewer

Plantation, FL โ€ข On-site, Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$90 - $120/hr

Part-time

Re-posted 18 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.