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Research Python Jobs in Atlanta, GA (NOW HIRING)

Operations Research Engineer

Atlanta, GA ยท On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role ... Strong programming skills in languages such as Python, C++, or Java. * Experience with optimization ...

Operations Research Engineer

Atlanta, GA ยท On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role ... Strong programming skills in languages such as Python, C++, or Java. * Experience with optimization ...

... research and/or industry experience * (Candidates without a PhD are expected to demonstrate additional depth and impact commensurate with the role) * Proficiency in Python and/or C/C++, with handson ...

Systems Engineer - R&D

Peachtree Corners, GA ยท On-site

$90K - $120K/yr

The Role: We're looking for a R&D Systems Engineer to work directly on the development of advanced ... C/C++, Python, microcontrollers, electronics, networking, CAD, fabrication, or mechanical assembly

Systems Engineer - R&D

Peachtree Corners, GA ยท On-site

$90K - $120K/yr

The Role: We're looking for a R&D Systems Engineer to work directly on the development of advanced ... C/C++, Python, microcontrollers, electronics, networking, CAD, fabrication, or mechanical assembly

Demonstrated research impact through publications and/or patents in top venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV) or equivalent industry impact * Proficiency in Python and/or C/C++, with hands ...

... research and/or industry experience * (Candidates without a PhD are expected to demonstrate additional depth and impact commensurate with the role) * Proficiency in Python and/or C/C++, with hands-on ...

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Research Python information

See Atlanta, GA salary details

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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.
Operations Research Engineer

Operations Research Engineer

GAINSystems

Atlanta, GA โ€ข On-site

$66K - $90K/yr

Full-time

Posted 29 days ago


Job description

About GAINS
GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster, and it's not a tagline, it's how we're redefining what's possible in supply chain decision-making.
Job Summary:
We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers.
Key Responsibilities:
  • Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics.
  • Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient.
  • Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy.
  • Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance.
  • Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients.
  • Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes.
  • Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders.
  • Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.
Qualifications:
  • Education: Master's in Operations Research, Industrial Engineering, Applied Mathematics, or a related field.
  • Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain.
  • Technical Skills:
    • Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling).
    • Strong programming skills in languages such as Python, C++, or Java.
    • Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools.
    • Familiarity with supply chain management principles and practices.
  • Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
  • Teamwork: Ability to work effectively in a collaborative, cross-functional team environment.
  • Adaptability: Willingness to learn and adapt to new challenges and technologies.
Preferred Qualifications:
  • Experience with machine learning techniques applied to supply chain problems.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies.
  • Experience in the software development lifecycle, including version control and agile methodologies.
We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.