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Data Science And Analytics Jobs in Atlanta, GA (NOW HIRING)

Varsity Tutors

Data Science Tutor

Duluth, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Atlanta, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Alpharetta, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Marietta, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Johns Creek, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Woodstock, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Lawrenceville, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Roswell, GA · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

CRH

Data Scientist

Atlanta, GA · On-site

Bachelor's or Master's degree in data science, statistics, mathematics, computer science, engineering, or related field * 2+ years of relevant experience in data science, analytics, or a related role ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Atlanta, GA

Data Science And Analytics information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Atlanta, GA is $118,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Atlanta, GA are hiring for Data Science And Analytics jobs?

Cities near Atlanta, GA with the most Data Science And Analytics job openings:

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics 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 $118,028 per year, or $56.7 per hour.

Data Scientist, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Posted 24 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

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

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