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Associate Scientist Jobs in Georgia (NOW HIRING)

... associate experience. This role focuses on building industry-leading Agentic AI capabilities and deploying Data Science models at scale for MET operations. Based on the specific data science project ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization.

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions succeed.

Research Scientist Department: Dean's Office, College of Pharmacy College/Division: College Of Pharmacy Primary Job Posting Location: Atlanta, GA 30341 Additional Job Posting Locations: (Other ...

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions succeed.

Key Skills: - LLM - NLP - GenAI - RAG - Python Summary We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of ...

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Associate Scientist information

See Georgia salary details

$15

$30

$48

How much do associate scientist jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for associate scientist in Georgia is $30.33, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $34.52 per hour, depending on experience, location, and employer.

Is an associate scientist entry level?

An associate scientist position is often considered an entry-level or early-career role in research and development, typically requiring a bachelor's or master's degree in a relevant field. It involves performing experiments, data analysis, and supporting scientific projects, with opportunities for skill development and advancement. However, some organizations may require prior experience or specific technical skills depending on the complexity of the work.

What degree do you need to be an associate scientist?

An associate scientist typically needs at least a bachelor's degree in a relevant field such as biology, chemistry, or related sciences. Some positions may require a master's degree or higher, along with laboratory skills and experience with scientific tools and techniques.

What are some common challenges an associate scientist might face when transitioning from academia to industry?

Associate Scientists moving from academia to industry often encounter challenges such as adapting to a faster-paced environment and focusing on project-driven outcomes rather than open-ended research. In industry, there is a stronger emphasis on teamwork, meeting strict deadlines, and following standardized protocols. Adjusting to these expectations, learning new technologies, and effectively communicating results to cross-functional teams are key areas where new hires may need support.

What does an associate scientist do?

An Associate Scientist is a professional who supports research and development projects, typically in fields like biotechnology, pharmaceuticals, or environmental science. They conduct experiments, analyze data, and document results under the supervision of senior scientists. Associate Scientists play a key role in advancing scientific knowledge and product development by performing laboratory tasks, maintaining equipment, and following established protocols. Their work contributes to discoveries, quality control, and regulatory compliance within their organization.

What is an associate scientist?

An associate scientist takes on more responsibilities than an assistant scientist, supporting research and each experiment under the lead scientist, often in a laboratory environment. As an associate scientist, there are many industries you can work in, including the research field where the lead scientist oversees your project, and you help author papers. Many pharmaceutical companies hire associate scientists to analyze samples to develop drugs and assist with preclinical and clinical studies. Private companies need you to produce specialty chemicals for their clients. Materials scientists at the associate level conduct research and test the properties of metals, plastics, and other materials for their use in new products and packaging. Some positions have duties that include training other team members and overseeing students and fellows.

What is the difference between Associate Scientist vs Research Scientist?

AspectAssociate ScientistResearch Scientist
Required CredentialsBachelor's or Master's degree in a relevant field; some roles may require a PhDTypically a Master's or PhD in a related discipline
Work EnvironmentLaboratories, research facilities, industry settingsResearch labs, academic institutions, industry
Employer & Industry UsageBiotech, pharmaceuticals, academia, governmentBiotech, pharmaceuticals, academia, government
Common Search & Comparison IntentUnderstanding entry-level or mid-level research rolesAdvanced research roles, career progression

Associate Scientists and Research Scientists often work in similar environments within biotech, pharma, or academic sectors. The main difference lies in experience and educational requirements, with Research Scientists typically holding higher degrees and engaging in more independent or advanced research. Both roles are essential for scientific progress, but Research Scientists usually have more responsibility and autonomy in their projects.

What are the key skills and qualifications needed to thrive as an associate scientist, and why are they important?

To thrive as an Associate Scientist, you generally need a bachelor’s or master’s degree in a relevant scientific field, along with strong analytical and laboratory skills. Familiarity with laboratory information management systems (LIMS), data analysis software, and standard operating procedures (SOPs) is often required. Attention to detail, problem-solving abilities, and effective teamwork are vital soft skills that distinguish top performers. These skills ensure accurate data collection, reliable experimental outcomes, and productive collaboration within research or product development teams.
What are the most commonly searched types of Scientist jobs in Georgia? The most popular types of Scientist jobs in Georgia are:
What cities in Georgia are hiring for Associate Scientist jobs? Cities in Georgia with the most Associate Scientist job openings:
What are popular job titles related to Associate Scientist jobs in GA? For Associate Scientist jobs in GA, the most frequently searched job titles are:
Infographic showing various Associate Scientist job openings in Georgia as of August 2026, with employment types broken down into 58% Full Time, 5% Part Time, 5% Temporary, and 32% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $63,095 per year, or $30.3 per hour.

Senior Data Scientist - MET

Home Depot

Atlanta, GA • On-site

Full-time

Re-posted 3 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,420 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 Senior Data Scientist is responsible for leading data science initiatives that drive business profitability, process optimization, increased efficiencies, improve workflow automation using AI and improved store associate experience. This role focuses on building industry-leading Agentic AI capabilities and deploying Data Science models at scale for MET operations. Based on the specific data science project, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, Multimodal AI, Conversational AI, Information Retrieval, Generative AI or search.
As a Senior Data Scientist, you are expected to seek out business opportunities to leverage data science as a competitive advantage. You will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business acumen to solutions and recommendations.
Key Responsibilities:
  • 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; 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
  • 30% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 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; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:
  • This position 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 or PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
  • Model Productionization: 4+ years of experience in deploying Data Science models from a development environment to a live application where it serves real-world predictions
  • AI Orchestration: 2+ years of experience in Data Science with a focus on Conversational AI, GenAI, Multimodal AI, agentic workflows, custom tool-calling
  • Technical Expertise: Must be proficient in a modern scripting language (preferably Python); Must be 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; Demonstrated proficiency in predictive modeling, data mining, and data analysis

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.

Minimum Years of Work Experience:
  • 5

Competencies:
  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • 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
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Directs Work: Provides direction, delegating and removing obstacles to get work done
  • 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
  • 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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