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Data Scientist Research Associate Jobs in Georgia

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Bachelor's or Master's degree in statistics, mathematics, operations research, computer science ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Bachelor's or Master's degree in statistics, mathematics, operations research, computer science ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Bachelor's or Master's degree in statistics, mathematics, operations research, computer science ...

PhD in Operations Research, Econometrics, or other applied mathematical discipline with at least 1 year of relevant professional experience OR * Master's degree in Operations Research, Data Science ...

As our Data Scientist you will have the opportunity to make a meaningful impact, leveraging and ... GenAI research and application: Stay up to date with the latest advancements in GenAI and apply ...

Bachelor's degree and 3 years' relevant experience OR Associate's degree plus 5 years' experience ... Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences ...

Bachelor's degree and 10 years' relevant experience OR Associate's degree plus 12 years' experience ... Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences ...

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Data Scientist 2

Augusta, GA · On-site

$114K - $127K/yr

Bachelor's degree and 3years' relevant experience OR Associate's degree plus 5 years' experience ... Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences ...

Showing results 21-40

Data Scientist Research Associate information

What is a data scientist research associate?

A Data Scientist Research Associate is a professional who applies statistical analysis, machine learning, and data management techniques to conduct research and extract insights from complex datasets. They often work in academic, government, or industry research settings, supporting projects by designing experiments, analyzing large volumes of data, and interpreting results. Their work helps inform decision-making, advance scientific knowledge, and develop new data-driven solutions. Typically, they collaborate with multidisciplinary teams and may contribute to publishing research findings.

What are the key skills and qualifications needed to thrive as a data scientist research associate?

To thrive as a Data Scientist Research Associate, you need a solid background in statistics, machine learning, and data analysis, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of platforms like SQL and TensorFlow are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are crucial for generating actionable insights from data and advancing research objectives.

What are some typical challenges faced by data scientist research associates when working on interdisciplinary projects?

Data Scientist Research Associates often collaborate with experts from fields such as engineering, biology, or social sciences. A common challenge is bridging the communication gap between disciplines, as each may have its own jargon and methodologies. Additionally, integrating and preprocessing diverse datasets can be complex due to varying data formats and quality. Overcoming these challenges requires strong communication skills, adaptability, and a willingness to learn about domain-specific concepts to ensure productive teamwork and successful project outcomes.

What are the most commonly searched types of Data Scientist Research jobs in Georgia?

The most popular types of Data Scientist Research jobs in Georgia are:

What job categories do people searching Data Scientist Research Associate jobs in Georgia look for?

The top searched job categories for Data Scientist Research Associate jobs in Georgia are:

Infographic showing various Data Scientist Research Associate job openings in Georgia as of August 2026, with employment types broken down into 74% Full Time, 7% Part Time, and 19% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Data Scientist, Global Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 6 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.Employment Type: FULL_TIME