ZipRecruiter

Log In

1

Google Internship Data Science Jobs in Powder Springs, GA

Masterapp Labs

Data Scientist

Milton, GA · On-site

We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (Google Cloud Platform) , Databricks , Kubernetes , and Generative AI . This ...

New

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Research and propose cutting-edge data science techniques and methodologies to improve existing ... Google Cloud). * Problem-Solving: Ability to design and implement innovative solutions to complex ...

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

Based on the specific data science project, this role would need to be knowledgeable in one or more ... Must be proficient running queries against data (preferably with Google BigQuery or SQL ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be Proficient in one or more data ... Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with ...

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... Experience running queries against data (preferably with Google BigQuery or SQL) * Experience in ...

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

Based on the specific data science team, this role has expertise in one or more data science ... Expertise running queries against data (preferably with Google BigQuery or SQL) * Advanced ...

Home Depot

Data Scientist - People Analytics

Atlanta, GA · On-site +1

This role requires deep knowledge in specialized data science areas, particularly in recommendation ... Proficient running queries against large-scale databases (preferably with Google BigQuery, SQL, and ...

Home Depot

Associate Data Scientist, Marketing

Atlanta, GA · On-site

$56K - $56K/yr

Based on the specific data science team, this role may need to develop skills in one or more data ... Experience running queries against data (preferably with Google BigQuery or SQL) * Experience in ...

next page

Showing results 1-20

All JobsGoogle Data Science JobsGoogle Internship Data Science JobsGoogle Internship Data Science Jobs in Powder Springs, GA

Google Internship Data Science information

See Powder Springs, GA salary details

$11

$21

$39

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

As of Aug 6, 2026, the average hourly pay for google internship data science in Powder Springs, GA is $21.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $23.22 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 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 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 Powder Springs, GA? For Google Internship Data Science jobs in Powder Springs, GA, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Powder Springs, GA look for? The top searched job categories for Google Internship Data Science jobs in Powder Springs, GA are:
What cities near Powder Springs, GA are hiring for Google Internship Data Science jobs? Cities near Powder Springs, GA with the most Google Internship Data Science job openings:
Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science job openings in Powder Springs, GA as of August 2026, with employment types broken down into 3% Internship, 46% Full Time, 15% Part Time, and 36% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $44,325 per year, or $21.3 per hour.

Data Scientist

Masterapp Labs

Milton, GA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist

Location: Alpharetta, GA (Onsite)
Interview: MS team interview/In-person

Job Summary:

We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (Google Cloud Platform), Databricks, Kubernetes, and Generative AI. This role involves designing and deploying scalable ML solutions, integrating cutting-edge generative models, and establishing robust monitoring systems to ensure performance and reliability in production environments.

 Key Responsibilities:

  • Design, develop, and deploy ML models and AI solutions using Google Cloud Platform and Databricks.
  • Build scalable data pipelines and ML workflows using Spark, Delta Lake, and Google Cloud Platform services (BigQuery, Vertex AI, Cloud Functions).
  • Containerize and orchestrate ML applications using Docker and Kubernetes.
  • Integrate and fine-tune Generative AI models (e.g., LLMs, decoder models) for tasks such as summarization, content generation, and intelligent automation.
  • Experience implementing RAG pipelines using Vertex AI, Google Cloud Platform’s AI Embeddings API, and vector search capabilities in Google Cloud’s Vertex AI Matching Engine to enable scalable semantic retrieval for LLM-based applications.
  • Proficient in managing embedding generation and indexing workflows within Google Cloud Platform, including integration with BigQuery, Cloud Storage, and Vertex AI Feature Store to support real-time and batch retrieval for generative AI use cases.
  • Establish end-to-end monitoring for ML systems in Google Cloud Platform using tools like Cloud Monitoring, Vertex AI Model Monitoring, and Cloud Logging like Define and track key performance metrics such as Model accuracy, precision, recall, F1-score etc.,
  • Implement MLOps best practices using MLflow, Vertex AI Pipelines, and CI/CD frameworks.
  • Ensure compliance with data governance, privacy, and security standards.

Required Qualifications:

  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
  • 5+ years of experience in ML/AI development and deployment.
  • Strong programming skills in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
  • Hands-on experience with Google Cloud Platform services and Databricks.
  • Proficiency in Kubernetes and containerized ML deployment.
  • Experience with Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
  • Familiarity with monitoring tools in Google Cloud Platform (Cloud Monitoring, Logging, Vertex AI).
  • Strong understanding of distributed computing and big data processing.
  • Experience with RESTful APIs and microservices architecture.
 

Apply