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

Amazon.com Services LLC Position: Product Mgr III - Tech - AMZ27585.1 Location: Miami, FL Multiple ... Computer Science, Engineering, Business Administration, or a related field, and two years of ...

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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 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:

Infographic showing various Entry Level Amazon Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Assoc Analyst, Data Analytics

Canon U.S.A., Inc.

Boca Raton, FL • On-site

$54K - $81K/yr

Full-time

Posted 11 days ago


Canon U.S.A. rating

7.7

Company rating: 7.7 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

79th of 161 rated electronics manufacturers


Job description

About the Role
Researches, plans, and evaluates the effectiveness of artificial intelligence models, automated systems, and data-driven methodologies through the rigorous review of detailed operational metrics. As an
entry-level professional working towards proficiency, this role utilizes professional education in data science or related technology fields to identify, analyze, and resolve technical bottlenecks while
interpreting company policies on data governance and AI ethics. The position operates under general instruction from managers regarding expected project outcomes, exercises good judgment in day-to-day
algorithmic evaluations, and typically reports to a Manager or a senior AI individual contributor when business needs dictate.
Responsible for providing strategic and tactical support to the organization by leveraging AI-powered data hygiene and automated matching tools to analyze, maintain, and cleanse complex data across
Oracle, Dun &Bradstreet, ZoomInfo, and Salesforce.com databases. Additionally, provides advanced analytical support to Canon Solutions America Sales Leadership and Branch Administration teams by
integrating machine learning models, predictive analytics, and intelligent forecasting platforms into territory analysis to optimize prospect viability scoring, establish territory equity, and drive data-backed quota development.
This role requires you to live within a reasonable commuting distance to Boca Raton, Fl so that you can adequately execute your job responsibilities.
Your Impact
-Data Management, Operations & AI Responsibilities
Performs data analysis with regard to client requests and develop rules/methodologies for effective data management.
Extracts, analyze, massage, cleanse and update data from Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com and CSA web site analytics on a routine basis.
Uses machine learning models to automatically detect, flag, and fix duplicate or corrupted records across Salesforce and Oracle.
Analysis and validation of new Prospect records entered by sales into Salesforce.com.
Implements AI algorithms to score and rank incoming prospect data from ZoomInfo and Dun & Bradstreet based on conversion potential.
Participates in ongoing decisions concerning data collections, methodology, best practices for ensuring accurate and clean data.
Effectively creates/runs reports and performs data extracts as requested by the business in a timely manner.
Employs generative AI tools to turn complex data extracts into plain-language summaries for company management.
Analyzes data with standard statistical methods, interpret results and present results to company management as requested.
Maintains data integration between Salesforce.com and Oracle applications.
Evaluates and maintains integrations between traditional databases and emerging AI data platforms to reduce manual work.
Liaison with 3rd party vendors like Dun & Bradstreet to analyze and maintain data worthiness.
Maintains Sales Territories, Hierarchies and Resources in appropriate systems.
Effectively analyze Sales Territories to help Market Leaders develop their sales coverage plan.
Leverages AI forecasting models to help market leaders build smarter sales coverage plans and spot market trends.
Accountable for maintaining a high level of customer service.
About You: The Skills & Expertise You Bring
- Bachelor's degree in a relevant field or equivalent experience required, plus 0 to 2 years of related experience.
- Have a strong knowledge of Microsoft Office, Excel, Access, and Power BI applications.
- Be detail oriented, articulate, and well-organized.
- Possess strong communication, troubleshooting and follow-up skills.
- Prefer knowledge of Oracle & Saleforce.com.
- Utilize project management and reporting skills to assist with departmental projects.
- Ability to meet strict deadlines and work effectively under pressure
- Exhibit a basic understanding of financial and accounting statements and concepts
- Must have the business acumen to work with technical and non-technical colleagues, sales personnel, various level of sales management and executive staff.
We are providing the anticipated base salary range for this role: $54,460-81,550 annually
Company Overview
About our Company -#CUSA
Workstyle Description
Hybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.
Posting Tags
#li-rb1 #pm19

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