ZipRecruiter

Log In

1

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

Home Depot

Data Scientist - People Analytics

Atlanta, GA · On-site +1

This role requires deep knowledge in specialized data science areas, particularly in recommendation ... Proficient with data visualization software (preferably Tableau) * Proficient with the end-to-end ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

Home Depot

Associate Data Scientist, Marketing

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 with data visualization software (preferably Tableau) * Experience utilizing statistical ...

Crew Career Center

Senior Data Scientist

Atlanta, GA · On-site

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Patientco

Senior Data Scientist

Atlanta, GA · On-site

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Unum UK

Data Scientist II - CX Analytics

Atlanta, GA · On-site +1

In this role, you will focus on executing applied data science work-running analyses, supporting ... Data Visualization: Expertise on at least one visualization tool with working knowledge of others ...

CRH

Data Scientist

Atlanta, GA · On-site

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 ...

previous page

Showing results 41-60

All JobsData Science Visualization JobsData Science Visualization Jobs in Atlanta, GA

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 Aug 20, 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.

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 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.

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:

Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $105,254 per year, or $50.6 per hour.

Data Scientist, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Posted 21 days ago

Job description

Overview
Job Purpose
The Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.
Responsibilities
  • Perform data exploration and statistical analysis for quantitative research purposes
  • Data preparation, validation, and visualization of various data sets such as time series of financial derivatives
  • Build production quality, data driven software solutions to support data management and analysis
  • Develop ETL applications to support core quant and risk team data requirements
  • Diagnose and profile data issues and recommend ways to improve data reliability, efficiency, and quality
  • Coordinate with quantitative research and business experts to develop and refine data management best practices, policies, and procedures
  • Provide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgrounds
  • Manage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.
  • Serve as a liaison between technology, operations, product management and the Financial Engineering teams
  • Engage in innovative research tasks in the quantitative finance and data science field

Knowledge and Experience
  • Master's degree in Data Science, Engineering, Mathematics, Statistics or similar field
  • Statistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valued
  • Working knowledge of SQL and experience working with relational databases preferred
  • Ability to work in a high-performance, high-velocity environment
  • Strong analytical and organizational skills with acute attention to detail
  • Strong communication skills
  • Customer focused and results oriented
  • Advanced Statistics knowledge related to Time Series preferred
  • Experience with code versioning tools such as Git preferred
  • Experience in Quantitative Finance and/or Financial Derivatives

-
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

Apply