2

Entry Level Amazon Data Science Jobs in Florida (NOW HIRING)

Be Seen First

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 ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

Some of the clients where SynergisticIT-trained developers and data scientists have been placed include: Google, Apple, Facebook (Meta), Amazon, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

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

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

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

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

next page

Showing results 1-20

Entry Level Amazon Data Science information

What is the difference between Entry Level Amazon Data Science vs Entry Level Amazon Data Engineering?

AspectEntry Level Amazon Data ScienceEntry Level Amazon Data Engineering
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python, R skillsBachelor's in Computer Science, Software Engineering, or related; SQL, Python, Spark skills
Work EnvironmentAnalyzing data, building models, predictive analyticsBuilding data pipelines, managing data infrastructure
Employer & Industry UsageUsed across Amazon for insights, recommendations, customer behaviorSupports data infrastructure, ETL processes, data storage

Entry Level Amazon Data Science focuses on analyzing data and creating models to inform business decisions, while Entry Level Amazon Data Engineering involves building and maintaining data pipelines and infrastructure. Both roles require technical skills but differ in their core responsibilities and daily tasks.

What are some common challenges faced by entry-level data scientists at Amazon, and how can they be addressed?

Entry-level data scientists at Amazon often encounter challenges such as working with large-scale, complex datasets and adapting to the fast-paced, results-driven environment. Navigating Amazon's proprietary tools and understanding the business context behind data projects can also be daunting at first. To overcome these challenges, new hires are encouraged to actively seek guidance from mentors, participate in team knowledge-sharing sessions, and invest time in learning Amazon's data infrastructure and workflows. Collaboration with cross-functional teams is frequent, so developing strong communication skills and a willingness to ask questions can significantly ease the transition and lead to early success.

What are the key skills and qualifications needed to thrive as an Entry Level Amazon Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist at Amazon, you typically need a strong foundation in statistics, data analysis, and programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and languages such as Python, SQL, AWS, and machine learning libraries, along with experience using data visualization platforms, is highly valued. Strong problem-solving abilities, communication skills, and the ability to collaborate across teams set top candidates apart. These skills are essential to extract actionable insights from large datasets, drive data-driven decisions, and contribute effectively to Amazon’s innovative environment.

What is an entry level Amazon data science job?

An entry level Amazon data science job typically involves analyzing large datasets, building data models, and generating insights to help Amazon improve its products and services. Employees in these roles often work with teams of data scientists, engineers, and business stakeholders to solve real-world business problems. Key responsibilities may include cleaning and organizing data, using statistical and machine learning techniques, and creating visualizations to communicate findings. Entry-level positions usually require a background in statistics, computer science, or a related field, along with proficiency in programming languages like Python or R.
What are the most commonly searched types of Amazon Data Science jobs in Florida? The most popular types of Amazon Data Science jobs in Florida are:
What are popular job titles related to Entry Level Amazon Data Science jobs in Florida? For Entry Level Amazon Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Entry Level Amazon Data Science jobs in Florida look for? The top searched job categories for Entry Level Amazon Data Science jobs in Florida are:
What cities in Florida are hiring for Entry Level Amazon Data Science jobs? Cities in Florida with the most Entry Level Amazon Data Science job openings:

Junior Data Scientist

Tech Consulting

Miami, FL • On-site

$30 - $35/hr

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.


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.