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Freelance R Shiny Developer Jobs in Virginia (NOW HIRING)

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Freelance R Shiny Developer information

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

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.

What are Freelance R Shiny Developers?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

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

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

What are the most commonly searched types of R Shiny Developer jobs in Virginia? The most popular types of R Shiny Developer jobs in Virginia are:
What are popular job titles related to Freelance R Shiny Developer jobs in Virginia? For Freelance R Shiny Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Freelance R Shiny Developer jobs in Virginia look for? The top searched job categories for Freelance R Shiny Developer jobs in Virginia are:
What cities in Virginia are hiring for Freelance R Shiny Developer jobs? Cities in Virginia with the most Freelance R Shiny Developer job openings:
Lead Data Scientist/Data Analyst

Lead Data Scientist/Data Analyst

Kalman & Company, Inc.

Stafford, VA

Full-time

Posted 5 days ago


Job description

Kalman & Company is seeking a highly motivated, performance-driven individual with strong data analysis experience to work closely with our Department of Defense (DoD) client in the Northern VA area. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the capability to lead, or principally contribute to, several of the largest and most significant studies in the company's portfolio. Experience in financial management, logistics, engineering, and/or program management domains are also preferred. As part of our team, you’ll help our Government clients make well-informed, data-driven decisions on some of the most impactful challenges facing the DoD. On-site support will be required as needed in the Quantico, VA and Stafford, VA areas.

A career with Kalman & Company is both rewarding and challenging. Our clients require skilled, hardworking, and innovative professionals who can meet the demands of a dynamic and fast-paced workplace. The analyst position will include, but is not limited to, the following capabilities:
Essential Job Functions:

  • Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies.
  • Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components.
  • Develop solutions in a highly collaborative and agile environment.
  • Lead efforts in collecting, normalizing, and analyzing complex data.
  • Work directly with stakeholders to understand their needs and requirements and apply these to the build/test phase of reports and dashboards.
  • Identify opportunities to streamline reporting to make processes more automated and less manual.
  • Develop and manage business intelligence solutions for the organization.
  • Utilize data visualization tools like Power BI to deliver solutions sourcing a variety of data.
  • Build data visualizations including dashboards and reports.
  • Document data profiling and quality assurance results, data dictionaries and analytical findings.
  • Use data to create predictive models and trend analysis.
  • Collaborate with colleagues for the purpose of collecting and structuring data.
  • Collect, audit, compile, and validate data from multiple sources.
  • Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs.
  • Communicate and work with diverse organizations and representatives for data collection, analysis, and results presentation.
  • Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer.
  • Work autonomously and as part of a team to meet organizational and project goals.
  • Lead in the preparation of briefing materials and other communications packages presenting the results of analysis.
  • Support on-site delivery in the Quantico and Stafford areas.

Skills and Qualifications Required:

  • US Citizenship is required.
  • Active Secret Security Clearance or ability to obtain a Secret Security Clearance.
  • Proficiency in Microsoft Excel and experience working with large data sets.
  • Advanced Microsoft Power BI skills, to include demonstrated development of models and data architectures using DAX and Power Query editor.
  • Excellent data gathering and analytical skills.
  • Excellent oral and written communication skills.
  • Have a strong understanding of DoD systems and processes.
  • Ability to lead detail-oriented tasks and multi-task under minimal supervision.

Education and Experience:

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field
  • 5+ years of experience supporting solutions implemented in DoD.
  • Experience in statistical modeling.
  • Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL.
  • Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.:

Preferred Experience:

  • Preferred: Experience with cloud computing/storage, data lakes/warehouses.
  • Preferred: Experience with Spark and ML applications.
  • Preferred: Experience with Scala, Java
  • Preferred: Experience with Robotic Process Automation (RPA) (e.g., UiPath)
  • Preferred: Experience with Natural Language Processing (NLP)
  • Preferred: Experience in Databricks