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Junior R Shiny Developer Jobs in Colorado (NOW HIRING)

GDIT

Data Scientist Senior

Colorado Springs, CO · Hybrid

$106K - $143K/yr

... or R Shiny. * Design and implement algorithms using languages such as Python and R. * Perform data engineering and modeling on cloud platforms such as Databricks, Snowflake, IBM Cloud Pak, or ...

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Junior R Shiny Developer information

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 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 Junior R Shiny Developers?

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 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.
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Junior R Shiny Developer jobs near you
Senior Artificial Intelligence Developer

Senior Artificial Intelligence Developer

Huck Adventures

Boulder, CO

$56.50 - $74.75/hr

Full-time

Posted 10 hours ago

Job description

Company Description

Huck Adventures brings people outside to explore the world together. The outdoor app makes it easy for people to connect with one another and get the educational and safety resources they need to for great adventures. Tailored to outdoor recreation, the app includes availability and skillset matching, communication, event, education, and safety tools all in one place. Huck Adventures partners with like-minded organizations and donates 10 percent of its profits to environmental and outdoor recreation nonprofits, so everyone can enjoy the adventure and beauty of the great outdoors. Learn more at www.huckadventures.com.

  • We expect a lot. Our culture is unique and we live by our values, so it's worth learning more about Huck Culture online.

  • We are a tight and driven team with big goals, so we seek individuals who are truly passionate about their work.

  • We are a start-up aiming to be a big company and have co-founder opportunities available.

Job Description

Huck maintains a relentless focus on continually improving our product through analytics and experimentation. We are seeking a talented and passionate data scientist to help drive innovation for our user interfaces on mobile, web. This is a high-impact position where your analytical insights and interpretation of test results will have a direct impact on product decisions. All future product changes will be tested before productization.

Responsibilities:

  • Partner closely with product management leadership, designers, and engineers to design and analyze app development that drive key product decisions.

  • Proactively perform data exploration on user behavior to discover future testing opportunities. Past projects included segmenting customers based on network characteristics  and visualizing how users navigate the application.

  • Research the best metrics to measure user engagement.

  • Build data products to rapidly turn novel ideas into web apps and dashboards.

  • Scale your solutions to enable partners to self-serve effectively and automating common data science workflows.

  • Present your research and insights to all levels of the company, clearly and concisely.

Qualifications

  • PhD degree in Statistics, Mathematics, Physics, Operations Research, Econometrics or related field

  • 5+ years relevant experience with a proven track record of leveraging massive amounts of data to drive product innovation

  • Fire

  • Strong statistical knowledge and intuition - ideally utilized in A/B testing or other experimentation setting

  • Strong SQL skills

  • Strong Programming skills in firebase and firestore

  • Experience with distributed analytic processing technologies (Hive, Pig, Presto, Spark)

  • Experience creating data products and dashboards in Tableau, R Shiny, or D3.

  • Deep product sense

  • Ability to work independently and drive your own projects

  • Exceptional interpersonal and communication skills

Additional Information

All your information will be kept confidential according to EEO guidelines.

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