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Shiny For Python Jobs (NOW HIRING)

Senior Product Manager - Streamlit

Menlo Park, CA · On-site

$149K - $196K/yr

... for end-to-end outcomes, good or bad. Preferred : • Prior experience with Streamlit (OS or Enterprise) or similar Python app frameworks (Shiny, Dash). • Experience in the AI/ML space ...

This is a very technical role, and we are looking for a candidate with strong technical acumen and ... Minimum of 5 years' experience of coding in Python, R / R Shiny leveraging data science libraries ...

General Application

Melbourne, FL · Remote

$75K - $130K/yr

... Python, R and other statistical toolsis a plus Project Management skills we look for ... React, Angular, Shiny, Dash. * Professional experience with source control. * Professional ...

General Application

Melbourne, FL · On-site

$75K - $130K/yr

... Python, R and other statistical tools is a plus Project Management skills we look for ... React, Angular, Shiny, Dash. * Professional experience with source control. * Professional ...

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/yr

Develop and qualify robust industrial processes for defense-grade steel forgings, ensuring first ... Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ...

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/yr

Develop and qualify robust industrial processes for defense-grade steel forgings, ensuring first ... Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ...

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Shiny For Python information

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How much do shiny for python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for shiny for python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are some common challenges developers face when building web applications with Shiny for Python compared to using traditional Python web frameworks?

Developers transitioning to Shiny for Python may initially find it challenging to adapt to its reactive programming paradigm, which differs from the request-response model of frameworks like Flask or Django. Understanding how Shiny manages state and updates the user interface in response to data changes is crucial. Additionally, since Shiny for Python is relatively new, there may be limited community resources or third-party integrations compared to more established frameworks, which can impact troubleshooting and feature implementation. However, Shiny's streamlined workflow for creating interactive data apps can make collaboration with data scientists and analysts more efficient.

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

To thrive as a Shiny for Python Developer, you need strong Python programming skills, experience with data visualization, and a background in web application development. Familiarity with the Shiny for Python framework, relevant libraries (such as pandas and matplotlib), and version control systems like Git is typically required. Excellent problem-solving, communication, and project management skills help you collaborate with stakeholders and deliver user-friendly, interactive applications. These skills are important to create effective, maintainable web apps that meet user needs and facilitate data-driven decision-making.

What is the difference between Shiny For Python vs Data Analyst?

AspectShiny For PythonData Analyst
Required skillsPython programming, data visualization, web app developmentExcel, SQL, data analysis, visualization
Work environmentData science teams, web app deploymentBusiness units, reporting teams
Industry usageTech, finance, healthcareFinance, marketing, retail
CertificationsPython certifications, data visualization toolsNone specific, often data analysis certifications

Shiny For Python is a framework for building interactive web applications using Python, primarily for data visualization and deployment. Data Analysts focus on interpreting data, creating reports, and using tools like Excel and SQL. While both roles involve data visualization, Shiny For Python developers build apps, whereas Data Analysts analyze and communicate insights.

What is Shiny for Python?

Shiny for Python is a web application framework that allows Python users to build interactive web apps and dashboards. Inspired by the popular R Shiny package, Shiny for Python enables you to create dynamic, data-driven web applications using only Python, without needing to write any JavaScript or HTML. It is particularly useful for data scientists and analysts who want to share their analyses and visualizations with others in an interactive format. Shiny for Python is open-source and integrates well with popular Python libraries such as pandas, plotly, and matplotlib.
Infographic showing various Shiny For Python job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, and 99% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Model Developer Senior Analyst - Structured Finance

Model Developer Senior Analyst - Structured Finance

S&P Global

Manhattan, NY

$94K - $117K/yr

Full-time

Medical, Retirement

Posted 28 days ago


S&P Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

About the Role:
Grade Level (for internal use):
11 The Team:
The Structured Finance (SF) team develops and maintains quantitative criteria, models, and tools that support credit rating and research across ABS, RMBS, CMBS, and structured credit. The team values technical rigor, timely delivery, and close collaboration with Methodologies and Ratings Technology to produce transparent, repeatable outputs used by global analysts.
The Impact:
This role provides practical quantitative and technical support that improves the efficiency, transparency, and consistency of credit analyses and research. Your deliverables will be used by analysts and SMEs to inform rating decisions and maintain operational reliability of models and tools. You will play a significant role in initiatives to improve efficiencies in structured finance modeling while providing professional know-how to enhance the knowledge and skill base of the organization.
What's in it for you:
  • Deliver tools and analyses that directly support rating decisions and research across global teams
  • Build production-quality scripts, dashboards, and integrations while expanding practical experience with C++, Python, R and SQL
  • Work with Methodologies, Ratings Technology, and Validation and mentor junior developers
  • Deepen practical knowledge of structured finance securitizations and credit risk modeling
  • Build relationships with peers outside of your team and function while being called upon by senior staff to advise on complex issues using your analytical perspective
Responsibilities:
  • Develop, maintain, and deploy user-focused quantitative tools, scripts, and dashboards to support credit analysts, following specifications from SMEs
  • Integrate models, data, and visualizations into reliable applications that support day-to-day analytical workflows
  • Analyze and synthesize datasets to produce actionable inputs, reports, and validation-ready outputs with particular focus on structured finance securitizations
  • Produce clear development documentation, test cases, and specifications; collaborate closely with Model and Criteria Validation to address feedback
  • Troubleshoot and resolve technical issues for non-routine problems, escalating complex or ambiguous matters to senior SMEs
  • Identify and implement incremental improvements to existing tools and processes that align with business needs
  • Coach and guide junior developers on technical tasks and best practices; support criteria projects by assisting with tool development, testing, and data gathering
  • All employees are required to work from the office a minimum of 2 days per week
What We're Looking For:
Basic Required Qualifications:
  • An S&P Global employee at this level would typically have 3-5+ years of experience in quantitative modeling or software development supporting financial analysis
  • Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field
  • Hands-on C++ experience is a core requirement for this position
  • Proficiency in quantitative programming languages such as Python and R (experience with R Shiny is preferred); solid SQL skills, and familiarity with relational databases
  • • Experience delivering reliable scripts, tools, or dashboards into production-like environments
  • Working knowledge of structured finance securitizations and capital markets concepts; able to apply domain knowledge to support model inputs and analyst workflows
  • Clear written and verbal communication; able to explain technical concepts to analysts and peers
  • Proven ability to work in cross-functional teams and follow direction from senior SMEs
  • We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an offer
Additional Preferred Qualifications:
Master's degree or advanced quantitative certification
Prior experience building interactive Shiny applications or similar dashboards
Familiarity with cloud environments and deploying analytical tools into production
Experience with structured finance modeling methodologies and securitization analysis
Compensation/Benefits Information:
The anticipated base salary range for this position is USD 101,000 - 122,000, depending on location, experience, and skills. This role is eligible for an annual incentive plan and additional S&P Global benefits. For more information on the benefits we provide to our employees, please visit S&P Global Benefits.
Right to Work Requirements:
All successful candidates must be authorized to work in the country where this position is located. S&P Global will not sponsor work authorization for this position.
About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit www.spglobal.com/ratings
What's In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)