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Google Internship Data Science Jobs in Boca Raton, FL

Paychex

Data Solutions Engineer

West Palm Beach, FL · On-site +1

$91K - $156K/yr

Work with architects, operations teams, and data scientists to define data requirements and ... Google Cloud) and large-scale data processing. * 1 year of experience in machine learning model ...

OneHope

2026 OneHope Cultivate Intern

Pompano Beach, FL · On-site

$14 - $17/hr

Cultivate , OneHope's internship program, goes beyond a typical work internship. This program is ... Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ...

OneHope

2026 OneHope Cultivate Intern

Pompano Beach, FL · On-site

$14 - $17/hr

Cultivate , OneHope's internship program, goes beyond a typical work internship. This program is ... Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ...

OneHope

2026 OneHope Cultivate Intern

Pompano Beach, FL

$14 - $17/hr

Cultivate , OneHope's internship program, goes beyond a typical work internship. This program is ... Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ...

Programmers.io

Bigdata Engineer with GCP

Sunrise, FL · On-site

$109K - $131K/yr

... Data Engineer with strong experience on Google Cloud Platform (GCP) to design, build, and optimize large-scale data processing systems. The ideal candidate will work closely with data scientists ...

Danaher

Digital Analyst Internships

Boca Raton, FL · On-site

$93K - $110K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Lake Worth, FL · On-site

$88K - $104K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

OneHope

2027 OneHope Cultivate Interest Form

Pompano Beach, FL · On-site

$14 - $17/hr

Cultivate , OneHope's internship program, is designed for students and recent graduates who have a ... Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ...

OneHope

2027 OneHope Cultivate Interest Form

Pompano Beach, FL · On-site

$14 - $17/hr

Cultivate , OneHope's internship program, is designed for students and recent graduates who have a ... Business Administration, Communication, Computer Science, Data Science & Analytics, Digital Media ...

Monitise

Cyber Threat Hunter

Coral Springs, FL

... Data Science or related field or equivalent combination of education, related experience and/or military experience. Experience that would be great to have: * Experience with Google SecOps or ...

Monitise

Cyber Threat Hunter

Coral Springs, FL

... Data Science or related field or equivalent combination of education, related experience and/or military experience. Experience that would be great to have: * Experience with Google SecOps or ...

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Google Internship Data Science information

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$11

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How much do google internship data science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for google internship data science in Boca Raton, FL is $21.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Data Science Intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What types of projects do Data Science interns typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What is a Google Internship in Data Science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What are popular job titles related to Google Internship Data Science jobs in Boca Raton, FL? For Google Internship Data Science jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Boca Raton, FL look for? The top searched job categories for Google Internship Data Science jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Google Internship Data Science jobs? Cities near Boca Raton, FL with the most Google Internship Data Science job openings:
Google Internship Data Science jobs near you
Data Scientist

Data Scientist

Zimmerman Advertising

Fort Lauderdale, FL • On-site

Full-time

Posted 3 days ago

Job description

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

Responsibilities

  • Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
  • Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
  • Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
  • Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
  • Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
  • Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
  • Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
  • Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
  • Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives

Requirements

  • Bachelor's degree in related field
  • Entry-Level and/or College Internship experience 
  • Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
  • Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
  • Advanced knowledge of Microsoft Excel
  • General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferred
  • Experience with data orchestration tools such as Annalect Omni is preferred
  • Excellent verbal, written and interpersonal communication skills
  • Ability to work independently and as part of a team
  • Ability to manage multiple projects simultaneously while meeting deadlines
  • Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
  • Data storytelling and presentation

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