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Google Internship Data Science Jobs in Decatur, AL

SOSi

Software Developer

Redstone Arsenal, AL

Collaborate with data scientists to integrate machine learning models into applications. * Design ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

SOSi

Senior Software Developer

Huntsville, AL

$53.75 - $71/hr

Collaborate with data scientists to integrate machine learning models into applications. * Design ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

SOSi

Senior Software Developer

Huntsville, AL

$53.75 - $71/hr

Collaborate with data scientists to integrate machine learning models into applications. * Design ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

QBE LLC (Federal)

Cloud Solutions Engineer

Huntsville, AL · On-site +1

$55 - $73.50/hr

... and data environment. The solutions you develop will enable scalable, secure, and reliable ... Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Cintel, Inc.

Cloud Developer Mid

Huntsville, AL · On-site

$55.75 - $76.25/hr

Required : • Bachelor's degree in Computer Science, Information Technology, or a related ... or Google Cloud. • Strong knowledge of containerization (e.g., Docker, Kubernetes ...

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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:
Google Internship Data Science jobs near you

Software Developer

SOSi

Redstone Arsenal, AL

Full-time

Posted 9 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

Overview

SOS International LLC (SOSi) is seeking highly skilled Software Developers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on an HPC. 

In this role, you will play a pivotal role in designing, developing, and maintaining MSIC software applications. You will work closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs. Your expertise in Python, Docker, NoSQL, SQL, and Apache Airflow/Kafka will be crucial in driving our projects forward.

Essential Job Duties

  • Design, develop, test, and maintain software applications using Python.
  • Design, implement, and manage scalable MLOps pipelines and infrastructure.
  • Develop and manage containerized applications using Docker.
  • Work with NoSQL and SQL for database management and optimization.
  • Implement and manage data workflows using Apache Airflow and Kafka.
  • Automate the training, testing, and deployment of machine learning models.
  • Implement and manage APIs and ensure their scalability, reliability, and performance.
  • Implement and manage infrastructure as code and configuration management tools.
  • Collaborate with data scientists to integrate machine learning models into applications.
  • Design and develop microservices architecture for scalability and efficiency.
  • Write clean, scalable, and efficient code.
  • Participate in the entire software development lifecycle, from concept and design to testing and deployment.
  • Troubleshoot, debug, and upgrade existing software.
  • Provides leadership, support and guidance to all AIMS Team Members.
  • Ensures and promotes the development of the AIMS team through coaching, training, and leadership development.
  • Provides informal feedback on an ongoing basis and formal feedback in the annual performance evaluation process to identify and develop talent.
Qualifications

Minimum Requirements

  • Top Secret Security Clearance with SCI eligibility.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 2-4 years of experience in software development, MLOps, DevOps, or related roles.
  • Proficiency in Python and experience with its frameworks.
  • Extensive knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and automated testing.
  • Experience with version control systems (Git, SVN).
  • Hands-on experience with NoSQL and SQL.
  • Proficient in using Apache Airflow for workflow management.
  • Proficiency with cloud platforms (AWS, Azure, Google Cloud).
  • Solid understanding of software architecture and design patterns.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.
  • Ability to work independently and manage multiple tasks efficiently.
  • Experience with agile development methodologies.

Preferred Qualifications

  • Familiarity with event-driven architecture and messaging systems (Kafka, RabbitMQ).
  • Experience with feature stores and model registries.
  • Familiarity with big data technologies (Spark, Hadoop)
  • Knowledge of monitoring and logging tools for machine learning models (Prometheus, Grafana, ELK stack).
  • Significant experience with petabyte scale data sets.
  • Significant experience with large-scale, multi-INT analytics.
Additional Information

Work Environment

  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.
  • May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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