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

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, and Machine Learning engineers. Who Should Apply:

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, and Machine Learning engineers. Who Should Apply:

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 ...

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 ...

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Entry Level Amazon Data Science information

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 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 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 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 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:

Infographic showing various Entry Level Amazon Data Science job openings in Florida as of September 2026, with employment types broken down into 2% Internship, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 92% In-person, 2% Hybrid, and 6% Remote job distribution.

Entry level Java spring boot developer/ data scientist

Miami, FL • On-site

SynergisticIT
IT Services • 11 - 50 employees

Other

Posted 5 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don’t Need Luck — You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it’s about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You’ll work on high‑demand technologies, build real‑world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don’t need luck — you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume

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About SynergisticIT

Sourced by ZipRecruiter

SynergisticIT is a reputable company based in Fremont, California, United States, operating within the prestigious technology industry. The company primarily focuses on tech staffing and IT services, taking pride in mastering the art of procuring the top talents in the industry to meet the diverse needs of its clients. While a testament to its long-standing commitment to excellent service, SynergisticIT was established in 2010, confirming its vast wealth of experience in addressing various tech-related challenges over the years. Their mission revolves around a singular operative phrase: “Understanding follows knowledge”. In line with this, they continually strive to garner more knowledge and understanding about the needs of their clients, thereby providing more personalized and effective solutions.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2010