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Research Python Jobs in Charlotte, NC (NOW HIRING)

Bank of America

Test Developer

Charlotte, NC · On-site

$102.70 - $114.90/hr

Python: Strong programming skills using Python and it's packages * Software Engineering: Software ... Interacts extensively with internal or external contacts to identify, research, analyze and resolve ...

3B Staffing LLC

Teradata developer

Charlotte, NC · On-site

Able to gather and interpret data requirements, research and analysis, business design, data ... Experience in Python, Spark and Hadoop * Knowledge in Anti-Money Laundering domain

3B Staffing LLC

Teradata developer

Charlotte, NC · On-site

Able to gather and interpret data requirements, research and analysis, business design, data ... Experience in Python, Spark and Hadoop * Knowledge in Anti-Money Laundering domain

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All JobsResearch Python JobsResearch Python Jobs in Charlotte, NC

Research Python information

See Charlotte, NC salary details

$12

$57

$84

How much do research python jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for research python in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 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 are the key skills and qualifications needed to thrive as a Research Python developer?

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 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.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong community support, making it well-suited for data analysis, scientific computing, and automation tasks. Proficiency in libraries like NumPy, pandas, and SciPy is often essential for research roles involving data processing and modeling.

Which research Python job is in demand?

Research Python roles in data science, machine learning, and artificial intelligence are currently in high demand due to the growing reliance on data-driven decision-making. These positions often require strong programming skills, knowledge of libraries like NumPy and pandas, and experience with statistical analysis or modeling. Employers seek candidates with relevant experience, often supported by certifications or advanced degrees in related fields.

What are popular job titles related to Research Python jobs in Charlotte, NC?

For Research Python jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Charlotte, NC look for?

The top searched job categories for Research Python jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Research Python jobs?

Cities near Charlotte, NC with the most Research Python job openings:

Research Python jobs near you

Long-Horizon Coding Task Expert

Bespoke Labs

Rock Hill, SC • On-site

Full-time

Posted 4 days ago

Job description

  • Build long-horizon RL environments and tasks for agent training, spanning many steps and hours of realistic effort rather than single-shot prompts

  • Shape environments end to end: stateful, resumable systems with snapshotting, checkpointing, and branching rollouts, at multi-node scale where needed

  • Generate and refine ideas for tasks and agentic trajectories across multi-turn, tool-using, and computer-use agent loops with persistent state across turns

  • Design reward structure for sparse-reward settings: milestone and process rewards, subgoal and task decomposition, and credit assignment across long trajectories

  • Validate that the work is correct, hard, and covers the right edge cases, including rubric design for partial credit, contamination avoidance, and defenses against reward hacking

  • Design curricula that ramp task difficulty rather than shipping fixed-difficulty tasks

  • Build automated pipelines that curate high-quality long-horizon RL environments and tasks at scale

  • Write reliable, well-tested Python infrastructure rather than one-off research scripts

  • Work directly with our research team with high ownership, building novel systems rather than maintaining legacy ones

Apply