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Entry Level Data Science Jobs in Hialeah, FL (NOW HIRING)

Tech Consulting

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years ... Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree in Computer Science ...

Pwc

Data Engineer - Senior Associate

Miami, FL · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

United States Army

Active Entomologist

Hialeah, FL

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

United States Army

Active Entomologist

Miramar, FL

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

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Entry Level Data Science information

See Hialeah, FL salary details

$9

$17

$24

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

As of Jul 14, 2026, the average hourly pay for entry level data science in Hialeah, FL is $17.25, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.38 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 popular job titles related to Entry Level Data Science jobs in Hialeah, FL? For Entry Level Data Science jobs in Hialeah, FL, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Hialeah, FL look for? The top searched job categories for Entry Level Data Science jobs in Hialeah, FL are:
What cities near Hialeah, FL are hiring for Entry Level Data Science jobs? Cities near Hialeah, FL with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Hialeah, FL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $35,890 per year, or $17.3 per hour.

Junior Data Scientist

Tech Consulting

Miami, FL • On-site

$30 - $35/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago

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Job description

Job Title: Jr. Data Scientist

Location: Miami, FL 

Employment type: Fulltime

Duration: 2 years

Exp: 1-4 years(Entry level)

Educational Qualification: Master’s Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a related quantitative field.

What This Role Requires

  • What This Role Requires:
    • 1-4 years of data analyst/ML/AI engineering work experience after your degree.
    • Must have experience with both Python programming & SQL language developer.
    • Should demonstrate experience developing end-to-end solutions.
    • Demonstrated SQL experience.
    • Additional experience with at least one: AWS, Azure or Databricks is preferred.
    • Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.

To Qualify

  • You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an onsite, in-office position.
  • Strong English communication skills, both written and verbal.
  • Bachelor’s Degree in Computer Science, Information Systems, Electrical Engineering,
    Mathematics, or a related quantitative field. Additional relevant Master’s degree is highly desirable for this role.

What’s In It For YOU?

  • Gain valuable, career-enhancing experience working with our Fortune 1,000 clients.
  • Receive relocation support for training and project assignments, as required.
  • Enjoy comprehensive W2 employee benefits.
  • Access full coverage medical, dental, and vision insurance.
  • Qualify for 401K eligibility after one year of employment.
  • Benefit from basic life/AD&D and dependent disability (short/long term) coverage.

Who Are We?

We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare. Our clientele includes industry giants like Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonald's, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, and Charles Schwab, among many others. As a consultant, joining our team means you'll also have the opportunity to work with these renowned and leading companies and gain valuable, career-accelerating experience.

Interested in accelerating your tech career through career-enhancing IT consulting experience? Do you meet the required qualifications? If so, apply today! We look forward to hearing from you.