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Research Python Jobs in Atlanta, GA (NOW HIRING)

Salesforce, Inc.

Applied Research Engineer

Atlanta, GA · On-site

The Research Engineering team works directly alongside Research Scientists to bring models to life ... Strong abilities with Python and Linux, and some with React. * Experience with production cloud ...

New

Salesforce, Inc.

Applied Research Engineer

Atlanta, GA · On-site

The Research Engineering team works directly alongside Research Scientists to bring models to life ... Strong abilities with Python and Linux, and some with React. * Experience with production cloud ...

New

FAVARH

Research/Trading Analyst - Agency MBS

Atlanta, GA · On-site

$80K - $100K/yr

The Trader/Researcher will focus on Agency MBS, including researching and capturing relative value ... Strong quantitative, programming, and database skills, including Python, SQL, and VBA. * Ability to ...

Invesco

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

... R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading research. Responsibilities of the Role: * Investigate the properties of Invesco's orders using transaction ...

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How much do research python jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for research python in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What are popular job titles related to Research Python jobs in Atlanta, GA? For Research Python jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Atlanta, GA look for? The top searched job categories for Research Python jobs in Atlanta, GA are:
Research Python jobs near you
Quantitative Analyst, Quantitative Research

Quantitative Analyst, Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Posted 5 days ago

Job description

Overview
Job Purpose
The Quantitative Analyst will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role for this position will be to provide model research, development, and strategic recommendations to solve practical problems in the financial industry. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions and defend assumptions. This role requires frequent interaction with Quant Research, Data Analytics, Risk Management, Technology Development and Senior Management.
Responsibilities
  • Design and develop quantitative model analytics frameworks to assess model usage and performance.
  • Create relevant test data sets, and portfolio strategies to be submitted to the model validators and regulators.
  • Investigate model behavior, carry out root cause analysis, and give model improvement suggestions.
  • Provide documentation of methods, techniques, results, and analysis.
  • Analyze large data sets, including positions, prices, and other market/liquidity data.
  • Research and design innovative quantitative solutions for stakeholders.
  • Develop and support in-house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization.

Knowledge and Experience
  • Master's Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields.
  • Proficiency in Python, SQL, and object-oriented programming.
  • Advanced knowledge in math (stochastic process, probability theory, numerical methods).
  • Ability to work in a high-performance, high-velocity environment.
  • Strong analytical and organizational skills with acute attention to detail.
  • Strong communication skills in both verbal and written English.

Preferred
  • Strong knowledge of Python, SQL, and C++.
  • Strong knowledge in object-oriented programming.
  • Work experience in Options Pricing Theory.
  • Work experience in Data Analytics.

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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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