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Contract Google Data Science Jobs in Georgia (NOW HIRING)

Participate in the continuous improvement of data science and analytics by developing replicable ... Google BigQuery or SQL); proficient utilizing statistical techniques to identify key insights that ...

Google Analytics Architect Atlanta, GA We are seeking a strategic and results-driven Analytics ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or ...

... Google Pay, Samsung Pay, and merchant tokenization). This role will contribute to detecting ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

... Google Pay, Samsung Pay, and merchant tokenization). This role will contribute to detecting ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

On our team, you'll use your leadership skills and data science expertise to create real-world ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

On our team, you'll use your leadership skills and data science expertise to create real-world ... as well as contract-specific affordability and organizational requirements. The projected ...

On our team, you'll use your leadership skills and data science expertise to create real-world ... as well as contract-specific affordability and organizational requirements. The projected ...

On our team, you'll use your leadership skills and data science expertise to create real-world ... as well as contract-specific affordability and organizational requirements. The projected ...

Agentic AI, AI & Data Science Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be ... Gemini API and Google AI Studio; BigQuery (for data processing and analytics); Cloud Run, Cloud ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Work closely with data scientists and analysts to understand data needs and business goals.

Bachelor's degree in Electrical Engineering, Computer Science, or equivalent engineering experience ... Google Data Center. When vendors build parts for our infrastructure, you'll be right there ...

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Lead the design and development of advanced data science and machine learning analytics models ... Familiarity with cloud platforms and tools such as AWS, Azure, of Google Cloud for development and ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Work closely with data scientists and analysts to understand data needs and business goals.

Showing results 41-60

Contract Google Data Science information

What is the difference between Contract Google Data Science vs Contract Data Analyst?

AspectContract Google Data ScienceContract Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Data Analysis, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentProject-based, often in tech or digital companies, with focus on predictive modeling and data-driven solutionsBusiness or marketing environments, focusing on reporting, data cleaning, and descriptive analysis
Employer & Industry UsageTech giants, consulting firms, and startups hiring for data science projectsRetail, finance, healthcare, and other industries requiring data reporting and insights

Contract Google Data Science roles typically involve advanced analytics, machine learning, and programming, whereas Contract Data Analyst positions focus on data reporting, cleaning, and visualization. Both roles require strong analytical skills but differ in technical complexity and project scope.

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 Contract Google Data Science jobs in Georgia? For Contract Google Data Science jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Contract Google Data Science jobs in Georgia look for? The top searched job categories for Contract Google Data Science jobs in Georgia are:
What cities in Georgia are hiring for Contract Google Data Science jobs? Cities in Georgia with the most Contract Google Data Science job openings:
Infographic showing various Contract Google Data Science job openings in Georgia as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Data Scientist

Home Depot

Atlanta, GA • On-site

Full-time

Posted 15 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,412 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Scientist will be a key architect in building next-generation agentic systems designed to revolutionize how professional customers manage complex projects. This role is responsible for developing autonomous AI capabilities that bridge the gap between simple search and sophisticated project quoting and fulfillment. You will leverage advanced techniques in Conversational AI, Retrieval-Augmented Generation (RAG), and Multimodal AI to unlock vast enterprise catalogs, automate project and product configuration, and provide real-time sourcing across a massive enterprise assortment.
As a member of the team, you will design the reasoning paths that allow AI agents to navigate "Pro-speak" queries, extract intent from multimodal project inputs, and manage complex state across omnichannel sessions. Your work will directly empower Pro customers to move from discovery to optimized quoting to transaction in minutes, providing a seamless, self-serve experience at scale.
Key Responsibilities:
  • 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position typically reports to Manager or above
  • This position has 0 Direct Reports

Travel Requirements:
  • Typically requires overnight travel less than 10% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:
  • Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • AI Orchestration: 4+ years of experience in Data Science with a focus on Conversational AI, GenAI, agentic workflows, custom tool-calling, and reasoning traces (e.g., LangSmith).
  • Advanced Retrieval: Mastery of RAG and vector database architectures, specifically for extracting technical specs from unstructured enterprise data.
  • Multimodal AI: Experience building pipelines to extract structured SKU-level intent from unstructured multimodal inputs, such as photos or handwritten lists.
  • Algorithmic Logic: Background in similarity scoring and attribute-matching to resolve vague technical queries.
  • State & Engineering: Experience building stateful AI applications that maintain context across devices and sessions.
  • Domain Expertise: Prior experience in B2B e-commerce, supply chain, or trade-related data is a significant plus.
  • Technical Expertise: Experience in a modern scripting language (preferably Python); proficient running queries against data (preferably with Google BigQuery or SQL); proficient utilizing statistical techniques to identify key insights that help solve business problems; knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP; working knowledge of Microsoft Excel and Power Point

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • No additional education

Minimum Years of Work Experience:
  • 3

Preferred Years of Work Experience:
  • No additional years of experience

Minimum Leadership Experience:
  • None

Preferred Leadership Experience:
  • None

Certifications:
  • None

Competencies:
  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

What Home Depot employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail and manufacturing

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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