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Google Internship Data Science Jobs in Decatur, AL

Network Data Analyst

Huntsville, AL · On-site

$55K - $73K/yr

Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ... Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics ...

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 ...

... Data Science, Software Engineering, or a closely related technical field Experience • ... technical role (internship and academic project experience considered) Technical Skills • ...

Cloud Developer Mid

Huntsville, AL · Hybrid

$58.50 - $80/hr

... Azure, or Google Cloud. * Strong knowledge of containerization (e.g., Docker, Kubernetes ... Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused ...

Cloud Developer Mid

Huntsville, AL · On-site

$58.50 - $80/hr

... Azure, or Google Cloud. * Strong knowledge of containerization (e.g., Docker, Kubernetes ... Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused ...

Cloud Developer Mid

Huntsville, AL · On-site

$58.50 - $80/hr

... Azure, or Google Cloud. * Strong knowledge of containerization (e.g., Docker, Kubernetes ... Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... You'll work in a collaborative environment alongside experienced scientists and contribute to real ...

Data Analysis Tutor

Huntsville, AL · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Google Internship Data Science information

See Decatur, AL salary details

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

As of Jun 27, 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 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.

Can I get a job in Google as a data scientist?

A data scientist internship at Google provides valuable experience, but securing a full-time data scientist role at Google typically requires strong technical skills in machine learning, programming (such as Python or R), and a solid educational background in a related field. Full-time positions often involve a rigorous interview process including technical assessments and behavioral interviews.

Does Google have data science internships?

Yes, Google offers data science internships for students and recent graduates interested in working on real-world projects using tools like Python, R, and SQL. These internships typically last 12 to 14 weeks and provide hands-on experience in data analysis, machine learning, and research within a collaborative 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.

Is a 3.0 GPA good for internships?

For a Google Data Science internship, a 3.0 GPA is generally considered acceptable but may be below the preferred range, as competitive internships often look for GPAs of 3.5 or higher. Strong technical skills, relevant coursework, and project experience can also significantly impact your application. GPA is one factor among others like coding ability, problem-solving skills, and internships or projects 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.

Is 30 too late for data science?

Age is not a strict barrier for a data science internship or career; many professionals transition into data science later in life. Success depends on relevant skills such as programming, statistics, and tools like Python or R, as well as a strong portfolio and continuous learning. Employers value experience and skills over age, making it possible to start or switch to data science at 30 or older.

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 job categories do people searching Google Internship Data Science jobs in Decatur, AL look for? The top searched job categories for Google Internship Data Science jobs in Decatur, AL are:
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:
Network Data Analyst

Other

Posted 25 days ago


LG Electronics rating

7.5

Company rating: 7.5 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

72nd of 139 rated electronics manufacturers


Job description

What we can offer: 

A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. 

 We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill-and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! 

 The Opportunity:

The Network Data Analyst will act as the primary point of contact for managing and optimizing data from LG Field Service systems. This role focuses on building and automating data structures to improve field operations and enhance territory mapping analysis.

A key responsibility is visualizing Field Service performance through dynamic dashboards and automated reporting. The analyst will partner closely with cross-functional teams to develop, calculate, and analyze Field Service KPIs, identify trends and improvement opportunities, and deliver clear, actionable insights to leadership.

Responsibilities:

  • Design, build, and maintain automated dashboards and performance trackers to support business visibility.
  • Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to develop impactful data visualizations.
  • Prepare accurate operational reports and forecasts using BI platforms and ERP systems to help drive performance against goals.
  • Streamline and automate planning processes in partnership with analytics teams, leveraging key insights to support continuous improvement.
  • Gather, consolidate, and analyze data from multiple sources, transforming it into clear, actionable insights for leadership.
  • Support the development and execution of strategies to optimize LG's preferred network coverage.
  • Perform detailed analyses of current processes, systems, and data flows to identify inefficiencies and recommend enhancements.
  • Partner with cross-functional stakeholders to design and implement data-driven solutions.
  • Develop geographic and territory map visualizations in Tableau to analyze network coverage.

Education / Experience (Requirements):

  • Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics, Business Analytics, Computer Science, etc.).
  • Advanced proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, etc.) is required.
  • Experience with business intelligence tools and dashboard development (e.g., Tableau, Google Data Studio).
  • Strong analytical and problem-solving skills with the ability to collaborate effectively across cross-functional teams.
  • Travel requirement: Typically less than 10%.

Preferred Qualifications:

  • Bilingual proficiency in both Korean and English
  • Experience using SQL for data querying.
  • Experience with programming languages such as Python.
  • Familiarity with cloud platforms, specifically Google Cloud Platform (GCP).

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