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Temporary Google Data Science Jobs in Georgia (NOW HIRING)

Booz Allen Hamilton

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 ...

OVA.Work

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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton

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 ...

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 ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

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 ...

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Temporary Google Data Science information

What is a temporary Google data scientist?

Temporary Google data science jobs are short-term positions at Google where professionals work on data-driven projects, such as analyzing large datasets, building predictive models, and providing actionable insights. These roles often last from a few months up to a year and can be part of contract work, internships, or project-based assignments. Temporary data scientists at Google collaborate with teams across the company to solve complex problems, improve products, and support decision-making. These positions usually require strong analytical skills, experience with programming languages like Python or R, and familiarity with machine learning techniques.

What are the key skills and qualifications needed to thrive as a temporary Google data scientist, and why are they important?

To thrive as a Temporary Google Data Scientist, you need strong analytical skills, expertise in statistics, and a solid foundation in programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks, big data tools like SQL and TensorFlow, and experience with data visualization platforms such as Tableau are highly valuable. Strong problem-solving abilities, adaptability, and effective communication skills are crucial for collaborating on fast-paced projects and presenting findings to diverse stakeholders. These competencies enable data-driven decision-making and ensure impactful contributions within a dynamic, innovative environment.

What are some typical challenges faced by data scientists in temporary roles at Google?

Temporary data scientists at Google often face the challenge of quickly onboarding to new projects and adapting to the company's fast-paced environment. Since assignments are time-bound, there’s a need to rapidly understand existing data infrastructure, collaborate with diverse teams, and deliver actionable insights within tight deadlines. Additionally, building rapport with permanent staff and accessing proprietary data or tools can require extra initiative. However, these challenges provide valuable exposure to Google’s cutting-edge practices and can significantly enhance your professional network and skill set.
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Temporary Google Data Science jobs near you

Data Architect

Booz Allen Hamilton

Warner Robins, GA • On-site

$86.80 - $198/hr

Other

Medical, Life, Retirement, PTO

Re-posted 6 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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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

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