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Research Python Jobs in Richmond, VA (NOW HIRING)

Capital One

Manager, Data Scientist

Richmond, VA · On-site

You continually research and evaluate emerging technologies. You stay current on published ... At least 4 years' experience in Python, Scala, or R for large scale data analysis * At least 4 ...

micro1 AI

Director of Biostatistics

Richmond, VA · Remote

$60 - $100/hr

Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies. * Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or ...

micro1 AI

Biostatistician

Richmond, VA · Remote

$60 - $100/hr

Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies. * Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or ...

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All JobsResearch Python JobsResearch Python Jobs in Richmond, VA

Research Python information

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How much do research python jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for research python in Richmond, VA is $58.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 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 Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

What are popular job titles related to Research Python jobs in Richmond, VA?

For Research Python jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Research Python jobs in Richmond, VA look for?

The top searched job categories for Research Python jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Research Python jobs?

Cities near Richmond, VA with the most Research Python job openings:

Research Python jobs near you

Senior Consultant/ Manager- Banking

Tiger Analytics Inc.

Richmond, VA • On-site

Full-time

Re-posted 14 days ago

Job description

Tiger Analytics is looking for experienced Senior Consultant/ Manager to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are looking for a Senior Consultant/ Manager - with strong experience in Python, SQL, Snowflake, and cloud technologies. The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making.

This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment.

Key Responsibilities

  • Partner with business stakeholders to understand and translate business needs into solution requirements.
  • Work with large datasets using Python/PySpark (Databricks/Jupyter) for data processing and analysis.
  • Write efficient SQL queries for data extraction, transformation, and validation.
  • Familiarity with regulatory reporting (e.g., CCAR, Basel, AML/KYC) and consumer financial data.
  • Experience handling large-scale consumer banking, credit risk, or payment processing datasets.
  • Consume and manage data from AWS S3 and integrate with downstream systems.
  • Leverage Snowflake for data warehousing, modeling, and performance optimization.
  • Build and maintain dashboards (Tableau, Power BI, or QuickSight) for business stakeholders.
  • Collaborate with cross-functional teams to translate business requirements into data solutions

Requirements

  • Master's degree in Computer Science or any related field
  • 7+ years of experience in Data Analytics, preferably within Tier-1 financial institutions, top 10 U.S. national banks, or global consumer banking.
  • Strong expertise in SQL for querying and manipulating large datasets.
  • Proficiency in Python for data analysis and scripting.
  • Experience with data visualization tools (Power BI, Tableau, Looker, etc.).
  • Hands-on with AWS (S3) and Snowflake
  • Understanding of banking/financial services data is must have
  • Experience working in a client-facing or consulting environment.
  • Hands-on experience in data analysis, data profiling, and exploratory analysis.
  • Hands-on experience in analyzing, identifying, and documenting transformation logic and rules.
  • Excellent teamwork and problem-solving abilities.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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