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Hourly Google Data Science Jobs in Georgia (NOW HIRING)

Data Architect

Warner Robins, GA · On-site

$86.80 - $198/hr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering certifications * Certified Data Management Professional (CDMP) or The Open ...

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache ... Science, Information Technology, Data Science, or related field Preferred : • 2+ years of ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering Certifications * Certified Data Management Professional (CDMP) or The Open ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering Certifications * Certified Data Management Professional (CDMP) or The Open ...

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or Google Data Engineering Certifications * Certified Data Management Professional (CDMP) or The Open ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Hourly Google Data Science information

What does an hourly Google data scientist do?

As an Hourly Google Data Science professional, you can expect to work on data cleaning, exploratory data analysis, and supporting ongoing projects with statistical insights. Your day may involve collaborating with product managers and engineers to define metrics, analyze user behavior, and present findings through clear visualizations. Because the role is hourly, tasks are often project-based with a strong emphasis on timely deliverables and adapting to shifting priorities. Collaboration tools and regular check-ins help ensure alignment with the team and project goals.

What skills and qualifications are needed to thrive as an hourly Google data scientist?

To thrive as an Hourly Google Data Scientist, you generally need strong analytical skills, a background in statistics or computer science, and experience with data modeling and analysis. Familiarity with programming languages like Python or R, as well as tools such as SQL, TensorFlow, and Google Cloud Platform, is typically required. Exceptional problem-solving abilities, communication skills, and a collaborative mindset help individuals stand out in this role. These skills are crucial for extracting actionable insights from data, effectively presenting findings, and driving impactful decisions within Google's fast-paced environment.

What is an hourly Google data science?

An Hourly Google Data Science job refers to a data science role at Google where an individual is compensated based on the number of hours worked, rather than receiving a fixed annual salary. These positions may be contract-based, freelance, or part of a temporary staffing arrangement. Hourly data scientists at Google typically analyze large datasets, build predictive models, and help inform business decisions using statistical and machine learning techniques. This role requires strong analytical skills, programming expertise, and familiarity with tools such as Python, R, and SQL. It can be a good option for those seeking flexible work arrangements or project-based employment.
What are the most commonly searched types of Google Data Science jobs in Georgia? The most popular types of Google Data Science jobs in Georgia are:
What are popular job titles related to Hourly Google Data Science jobs in Georgia? For Hourly Google Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Hourly Google Data Science jobs in Georgia look for? The top searched job categories for Hourly Google Data Science jobs in Georgia are:

Data Architect

Booz Allen Hamilton

Warner Robins, GA • On-site

$86.80 - $198/hr

Other

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Overview

For an organization to transform into today’s digital world, it needs to properly collect, store, and organize its data.

Effective data management can enable more efficient operations, yielding more growth. As a Data Architect, you will apply your creative‑thinking and analytical mindset to help organizations manage their data assets. We’re looking for an experienced data architect to deliver leading‑edge solutions for the Department of the Air Force.

Responsibilities

As a Data Architect on our team, you will be responsible for the full lifecycle of structured and unstructured data, transforming raw information into highly discoverable, governed, and usable assets.

This role is critical for bridging data availability while maintaining strict compliance and security boundaries. You’ll use your technical expertise to design data architecture solutions for data architecture and modeling, data conditioning, data tagging, discovery, and cross‑domain availability.

You will create, design, and implement these solutions in collaboration with business analysts and technology teams to support current and future Department of the Air Force systems.

You will guide your team as it designs, defines, develops, and tests cloud solution components, and you will serve as a liaison between our customers and developers to ensure that requirements are met and solutions are delivered.

Qualifications
  • 5+ years of experience in data architecture or data engineering
  • Experience managing both relational databases (SQL) and non‑relational systems such as NoSQL, Vector DBs, or Object Storage
  • Experience working with air‑gapped systems, cross‑domain solutions, or multi‑level security (MLS) IT environments
  • Experience with modern data pipeline tools and data cataloging platforms
  • Bachelor’s degree in Computer Science, Data Science, or Information Technology
Nice to Have
  • Experience designing robust data frameworks to ingest, process, and store massive structured and unstructured datasets
  • Experience cleaning, normalizing, and transforming raw data to ensure absolute quality, consistency, and readiness for analytics
  • Experience with cloud‑based secure infrastructure such as AWS, Azure, or Google Cloud
  • Experience with automated metadata extraction and AI‑driven data tagging
  • Master’s degree in Computer Science, Data Science, or Information Technology
  • AWS, Microsoft, or Google Data Engineering certifications
  • Certified Data Management Professional (CDMP) or The Open Group Architecture Framework (TOGAF) certifications
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required.

Compensation

Salary range: $86,800.00 – $198,000.00 annualized USD (typical range). Benefits include health, life, disability, financial, and retirement plans; paid leave; professional development; tuition assistance; work‑life programs; and dependent care.

EEO Statement

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

Work Model

Position may be remote, hybrid, or onsite. Remote positions may still require occasional in‑person work. Hybrid positions require frequent work at a Booz Allen facility. Onsite positions are performed primarily at a Booz Allen office or customer facility.

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Benefits

Hours and flexibility

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914