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Google Internship Data Science Jobs in Decatur, AL

Guidehouse

Data Engineer

Huntsville, AL · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Guidehouse

Data Engineer

Huntsville, AL · On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Guidehouse

Public Health Data Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Danaher

Digital Analyst Internships

Huntsville, AL · On-site

$97K - $115K/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 ...

Guidehouse

Palantir Foundry Engineer I

Huntsville, AL · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience working with cloud platforms (Azure, AWS, Google cloud services) and modern enterprise ...

Guidehouse

Senior Palantir Foundry Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience working with cloud platforms (Azure, AWS, Google cloud services) and modern enterprise ...

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Google Internship Data Science information

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$11

$21

$39

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

As of Aug 20, 2026, the average hourly pay for google internship data science in Decatur, AL is $21.10, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.98 per hour, depending on experience, location, and employer.

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 types of projects does a data science intern 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 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 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 cities near Decatur, AL are hiring for Google Internship Data Science jobs?

Cities near Decatur, AL with the most Google Internship Data Science job openings:

Google Internship Data Science jobs near you

Data Engineer

Guidehouse

Huntsville, AL • On-site

$53K - $88K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.

  • Role contingent upon contract award


What You Will Need:

  • U.S. Citizenship or Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

  • Experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

  • Experience in programming languages such as Python, Java, or SQL.

  • Experience with data integration, ETL, data warehousing, or analytics concepts.


What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.

The annual salary range for this position is $53,000.00-$88,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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