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Data Science Visualization Jobs in Atlanta, GA (NOW HIRING)

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ... engineering, and data visualization techniques. · Proficiency in Python programming, and ...

Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science ... engineering, and data visualization techniques. • Proficiency in Python programming, and ...

In this role, you will generate actionable insights through analysis and visualization, supporting ... Bachelor's or Master's degree in data science, statistics, mathematics, computer science ...

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ... engineering, and data visualization techniques. · Proficiency in Python programming, and ...

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ... engineering, and data visualization techniques. · Proficiency in Python programming, and ...

In this role, you will generate actionable insights through analysis and visualization, supporting ... Bachelor's or Master's degree in data science, statistics, mathematics, computer science ...

... visualization techniques * Excellent communication and stakeholder management skills Key Responsibilities * Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

... visualization techniques * Excellent communication and stakeholder management skills Key Responsibilities * Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

... visualization techniques * Excellent communication and stakeholder management skills Key Responsibilities * Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to ...

AWS Data Scientist

Atlanta, GA · On-site

$85K - $105K/yr

... visualization techniques * Excellent communication and stakeholder management skills Key Responsibilities * Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to ...

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 ... querying data, visualization, and advanced analytics - distribution of key attributes ...

... data science Technical Skills * Strong proficiency in Python, R, and SQL * Experience with data visualization libraries and tools ( Matplotlib, Seaborn, Tableau ) * Hands-on experience with ETL ...

... scientists on the team. * Integrate diverse data sources, data types and data structures into an innovative visualization prototype. * Work with key stakeholders to develop advanced solutions or ...

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Data Science Visualization information

See Atlanta, GA salary details

$51.9K

$105.3K

$155.3K

How much do data science visualization jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science visualization in Atlanta, GA is $105,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $118,300.00 per year, depending on experience, location, and employer.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
What are popular job titles related to Data Science Visualization jobs in Atlanta, GA? For Data Science Visualization jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Science Visualization jobs in Atlanta, GA look for? The top searched job categories for Data Science Visualization jobs in Atlanta, GA are:
Infographic showing various Data Science Visualization job openings in Atlanta, GA as of July 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Contract. Highlights an 80% In-person, 13% Hybrid, and 7% Remote job distribution, with an average salary of $105,254 per year, or $50.6 per hour.
Data Scientist, Supply Chain Simulation and Fulfillment

Data Scientist, Supply Chain Simulation and Fulfillment

Home Depot

Atlanta, GA • On-site

Full-time

Re-posted 12 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,342 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 is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences 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 focus on understanding the overall business area being supported.
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
  • 4+ years of experience in business intelligence and analytics
  • Working knowledge of Microsoft Excel and Power Point
  • Experience in a modern scripting language (preferably Python)
  • Proficient running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • 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 experience 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.

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


Home Depot logo

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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