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Junior R Shiny Developer Jobs in North Carolina (NOW HIRING)

... R Programming, Python, Spark โ€ข Statistical & Data Management Packages - Python - Pandas, Numpy ... โ€ข Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn โ€ข Big Data ...

Mentor junior programmers and influence programming approaches through strong technical leadership ... Expertise in R programming. * 6+ years of clinical programing experience * 5+ years of experience ...

Mentor junior programmers and influence programming approaches through strong technical leadership ... Expertise in R programming. * 6+ years of clinical programing experience * 5+ years of experience ...

Manufacturing Engineer

Mayodan, NC ยท On-site

$68K - $87K/yr

Provide mentorship within the Ruger production environment to junior engineers as well as ... Knowledge of capability studies, gage R&R, PFEMA, Kaizen * Strong communication proficiency ...

Manufacturing Engineer

Mayodan, NC ยท On-site

$68K - $87K/yr

Provide mentorship within the Ruger production environment to junior engineers as well as ... Knowledge of capability studies, gage R&R, PFEMA, Kaizen * Strong communication proficiency ...

Manufacturing Engineer

Mayodan, NC ยท On-site

$68K - $87K/yr

Provide mentorship within the Ruger production environment to junior engineers as well as ... Knowledge of capability studies, gage R&R, PFEMA, Kaizen * Strong communication proficiency ...

New

... junior team members. Responsibilities : โ€ข Working closely with other data scientists and ... programming skills in Python, R, or other relevant languages for data analysis. Company

Showing results 21-40

Junior R Shiny Developer information

What is a Junior R Shiny developer?

Junior R Shiny Developers are entry-level professionals who build interactive web applications using the R programming language and the Shiny framework. They typically work under the guidance of senior developers to design, develop, and maintain data-driven dashboards and tools. Their tasks often include writing R code, creating user interfaces, visualizing data, and ensuring applications run smoothly. This role is ideal for individuals with a background in statistics, data analysis, or programming who are looking to gain experience in web development and data science applications.

What are the key skills and qualifications needed to thrive as a Junior R Shiny developer, and why are they important?

To excel as a Junior R Shiny Developer, you need a solid understanding of R programming, data analysis, and basic web development concepts, typically supported by a degree in computer science, statistics, or a related field. Familiarity with the Shiny package, Git version control, and data visualization tools like ggplot2 is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies ensure the delivery of robust, user-friendly data applications that meet client or organizational needs.

What are some common challenges faced by Junior R Shiny developers during project development?

Junior R Shiny Developers often encounter challenges related to translating user requirements into interactive web applications, managing reactivity efficiently, and ensuring application performance with larger datasets. Navigating unfamiliar codebases, debugging reactive expressions, and learning best practices for UI/UX design in Shiny are also typical hurdles. Collaborating closely with data scientists and end users is essential to refine features and ensure the app meets practical needs, so strong communication and a willingness to learn from feedback are key to success in this role.

What is the difference between Junior R Shiny Developer vs Data Analyst?

AspectJunior R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, basic programmingData manipulation, statistical analysis, visualization
Work EnvironmentDeveloping interactive web apps, codingData interpretation, reporting, dashboards
Industry UsageTech, healthcare, finance for app developmentBusiness, marketing, finance for insights

While both roles involve working with data, a Junior R Shiny Developer primarily focuses on creating interactive web applications using R and Shiny, requiring coding skills. In contrast, a Data Analyst interprets data, generates reports, and provides insights, often using tools like Excel, SQL, or visualization software. The roles overlap in data handling but differ in technical depth and end goals.

What are the most commonly searched types of R Shiny Developer jobs in North Carolina?

The most popular types of R Shiny Developer jobs in North Carolina are:

What job categories do people searching Junior R Shiny Developer jobs in North Carolina look for?

The top searched job categories for Junior R Shiny Developer jobs in North Carolina are:

Infographic showing various Junior R Shiny Developer job openings in North Carolina as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Quantitative Data Scientist / ML Model Developer

Charlotte, NC โ€ข On-site

$68.25/hr

Other

Posted 3 days ago

New


Job description

Job Title: Quantitative Data Scientist / ML Model Developer Location: Jersey City, NJ (Required 3 days onsite) Duration: Contract - 12 months Pay Range: $68.25/hr (W2) Job ID: 409251 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an Quantitative Data Scientist / ML Model Developer to join our team. The ideal candidate will have strong experience in machine learning, natural language processing, and Python-based model development and a proven ability to design, build, validate, and deploy production-grade AI solutions in a regulated financial environment. Responsibilities: Apply advanced machine learning and NLP to deliver predictive analytics, information retrieval, and document intelligence for wealth management, private bank, advisory, compliance, and supervision use cases. Develop production-grade ML and AI systems using Python, SQL, distributed processing, and model-serving infrastructure aligned to software engineering standards. Evaluate solutions with quantitative validation, monitoring, accuracy and latency analysis, scalability testing, and production-readiness assessments. Design and implement scalable data pipelines and model workflows for large structured and unstructured financial datasets. Prepare model methodology, technical design, performance evaluation, limitations, monitoring controls, and governance documentation for model risk management and audit. Required Skills & Qualifications: Advanced graduate degree in engineering, mathematics, statistics, computer science, actuarial science, economics, or related technical field. Graduate-level background in machine learning, hypothesis testing, regression analysis, statistics, or probability, with experience building predictive analytics on noisy data. 1-2 years of quantitative research experience in financial engineering, data science, or risk analytics within the securities domain. Hands-on proficiency with Python or R and common DS/ML tools such as Plotly, Shiny, Presto, TensorFlow, Keras, and PyTorch. Strong knowledge of advanced statistical methods, Bayesian techniques, pattern recognition, outlier detection, and predictive models including decision trees and random forests. Knowledge of financial engineering for forecasting, valuation, instrument and strategy selection, portfolio construction, and risk management across equities, fixed income, currencies, futures, commodities, or derivatives. Preferred Skills: Proficient written communication with experience creating comprehensive model documentation. Experience working within Agile development environments. Additional Details Onsite requirement: 3 days per week in Jersey City, NJ. Start date: ASAP. Glider: ID verification. Candidates must include current and intended location on resume and submit at the correct local rate. Maximum submissions per supplier: 3. Primary Skill: AI - Model Development Secondary Skill: Python Tertiary Skill: Model validation and governance documentation Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.