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

Tech Consulting

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data ...

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 ...

Amazon

Data Engineer III - AMZ9871476

Miami, FL · On-site

$165.78K - $209.10K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Engineer III Job Location: Miami, Florida Job Number ... Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

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 ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

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 ...

Boeing

Entry-Level F-15 Flight Test Data Engineer

Eglin, FL · On-site

$51 - $67.25/hr

Entry-Level F-15 Flight Test Data Engineer Company: The Boeing Company At Boeing, we are all ... Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing ...

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Entry Level Amazon Data Science information

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 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 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 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 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:
Entry Level Amazon Data Science jobs near you

Data Scientist

Tech Consulting

Tampa, FL • On-site

$35 - $42/hr

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago

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Job description

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions.

Entry-Level Data Scientist – Job Description

Role Overview

Full-time

Training and deployment.

Traing will take in our HQ, which is in Atlanta, GA

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data

Perform exploratory data analysis (EDA) to identify trends and patterns

Build and evaluate machine learning models

Develop data visualizations and dashboards

Work with cross-functional teams (product, engineering, business)

Communicate insights through reports and presentations

Optimize models for performance and scalability

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Strong knowledge of Python (Pandas, NumPy, Matplotlib, Seaborn)

Understanding of statistics and probability

Familiarity with machine learning algorithms

Basic knowledge of SQL

Problem-solving and analytical thinking

Preferred Qualifications (Nice to Have)

Internship or project experience in data science

Experience with libraries like Scikit-learn, TensorFlow, or PyTorch

Knowledge of data visualization tools (Tableau, Power BI)

Basic understanding of cloud platforms (AWS, Azure, GCP)