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Google Internship Data Science Jobs in Decatur, AL

Senior Software Developer

Huntsville, AL

$53.75 - $71/hr

Its capabilities include data science, software development, network engineering, intelligence ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Its capabilities include data science, software development, network engineering, intelligence ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Its capabilities include data science, software development, network engineering, intelligence ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Senior Data Architect

Huntsville, AL · On-site

$64 - $85.75/hr

Bachelor's Degree in Computer Science, Information Systems, or a related field. * 8+ years of ... Knowledge of cloud-native database architectures within AWS, Azure, or Google Cloud. * Experience ...

Senior Data Architect

Huntsville, AL · On-site

$140 - $160/hr

Bachelor's Degree in Computer Science, Information Systems, or a related field. * 8+ years of ... Knowledge of cloud-native database architectures within AWS, Azure, or Google Cloud. * Experience ...

New

Senior Data Architect

Huntsville, AL · On-site

$140K - $160K/yr

Bachelor's Degree in Computer Science, Information Systems, or a related field. * 8+ years of ... Knowledge of cloud-native database architectures within AWS, Azure, or Google Cloud. * Experience ...

Senior Data Architect

Huntsville, AL · On-site

$140K - $160K/yr

Bachelor's Degree in Computer Science, Information Systems, or a related field. * 8+ years of ... Knowledge of cloud-native database architectures within AWS, Azure, or Google Cloud. * Experience ...

Cloud Developer Senior

Huntsville, AL · On-site

$53.50 - $73.50/hr

... Azure, or Google Cloud. * Experience with: Grafana and Kafka, Ansible Automation Platform ... Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused ...

Showing results 21-40

Google Internship Data Science information

See Decatur, AL salary details

$11

$21

$39

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

As of Aug 21, 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:

Mid-level Software Developer: HSV-26123

Http://www.decibelresearch.com/

Huntsville, AL

Full-time

Re-posted 14 days ago


Job description

deciBel Research has an immediate opening for a Mid-level Software Developer in Huntsville, AL.

Position Description:

We are seeking a mid-level AI Software Developer (5–10 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you'll develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities.

You'll work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision-making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact.

Responsibilities Include

  • Design, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practices.
  • Develop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sources.
  • Build AI-powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision-makers.
  • Develop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologies.
  • Create scalable data models and services that support analytics, reporting, and digital engineering initiatives.
  • Collaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross-functional environment.
  • Integrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architectures.
  • Participate in technical design reviews, code reviews, architecture discussions, and continuous improvement activities.
  • Prototype innovative AI solutions and mature successful concepts into production-ready software.
  • Stay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real-world engineering and business challenges.

Education Requirements:

BS Computer Science or Computer Engineering

Experience Requirements:

  • A degree in Computer Science or related field and some hands-on experience, personal projects, GitHub contributions, bootcamp experience, or internships.
  • Demonstrative experience with at least one modern programming language (Python, C++, Rust)
  • Experience with Linux operating system
  • Built at least one meaningful service/API
  • System-level thinking
  • Git + Linux proficiency
  • Curiosity, problem-solving, and a willingness to experiment.
  • Comfort working in collaborative, iterative development environments.
  • Strong communication skills and a desire to grow.

Special Skills Desired:

  • 5–10 years of software development experience with strong proficiency in Python or similar scripting languages.
  • Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies.
  • Experience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise tools.
  • Experience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies.
  • Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
  • Experience developing RESTful APIs and working with structured and unstructured data.
  • Knowledge of vector databases, Retrieval-Augmented Generation (RAG), embeddings, or semantic search is highly desirable.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plus.
  • Strong problem-solving, communication, and collaboration skills.

Applicant selected must have an active Secret security clearance. Must be a U.S. Citizen.