In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or ...
In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or ...
In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or ...
In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or ...
Data Scientist - Senior
Liberty, NC · On-site
In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or ...
Data Scientist - Senior
Liberty, NC · On-site
In this role, you will design and deploy Python-based solutions and analytic pipelines that ... Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or ...
Python Dash Plotly information
What are some common challenges faced by professionals working with Python Dash and Plotly in a collaborative team environment?
Collaborating on Python Dash and Plotly projects often involves managing code versioning, ensuring consistent styling, and coordinating updates to interactive dashboards. Teams may face challenges integrating user feedback quickly while maintaining code quality and performance, particularly when dashboards grow in complexity. Effective communication about data sources and deployment processes, as well as clear documentation, are key to overcoming these hurdles. Regular code reviews and adopting best practices for modular code can help ensure smooth collaboration and scalable dashboard development.
What is a Python Dash Plotly developer?
Python Dash Plotly developers are professionals who specialize in building interactive web applications and data visualizations using the Dash framework and Plotly library in Python. Dash is a powerful open-source framework designed for creating analytical web applications without requiring extensive knowledge of front-end technologies. These developers use Dash and Plotly to create dashboards, data analytics tools, and visual reports that allow users to interact with complex data in real time. Their work often involves integrating data sources, designing user interfaces, and deploying applications for business intelligence or scientific research.
What is the difference between Python Dash Plotly vs Data Analyst?
| Aspect | Python Dash Plotly | Data Analyst |
|---|---|---|
| Primary Role | Developing interactive data visualization dashboards | Analyzing data to generate reports and insights |
| Skills Required | Python, Dash, Plotly, JavaScript basics | Excel, SQL, statistical analysis, data visualization |
| Work Environment | Data visualization development teams, tech companies | Business units, consulting firms, finance, marketing |
| Certifications | Python certifications, data visualization courses | Data analysis, Excel, SQL certifications |
Python Dash Plotly professionals focus on creating interactive dashboards using Python, while Data Analysts interpret data and generate reports. Both roles require data skills but differ in technical focus and end goals.
What are the key skills and qualifications needed to thrive as a Python Dash Plotly developer?
To excel as a Python Dash Plotly Developer, you need strong proficiency in Python programming, data visualization principles, and experience with the Dash and Plotly libraries, often backed by a degree in computer science or a related field. Familiarity with tools such as Git for version control, REST APIs, and cloud platforms, as well as knowledge of front-end technologies like HTML and CSS, is typically required. Excellent problem-solving, attention to detail, and the ability to communicate complex data insights clearly are crucial soft skills. These skills enable the creation of interactive, scalable data applications that effectively support business decision-making.
What are popular job titles related to Python Dash Plotly jobs in Greensboro, NC? For Python Dash Plotly jobs in Greensboro, NC, the most frequently searched job titles are:
What job categories do people searching Python Dash Plotly jobs in Greensboro, NC look for? The top searched job categories for Python Dash Plotly jobs in Greensboro, NC are:
What cities near Greensboro, NC are hiring for Python Dash Plotly jobs? Cities near Greensboro, NC with the most Python Dash Plotly job openings:
Other
Re-posted 8 days ago
Job description
What You'll Be Doing: We are seeking a senior-level Data Scientist to develop and operationalize advanced analytic solutions that directly enhance intelligence production and mission effectiveness. In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise repositories. You will create solutions, interactive dashboards, and analytic interfaces that improve analytic rigor, transparency, and reproducibility. Your work will modernize legacy workflows to ensure reliability, scalability, and maintainability in high-consequence environments. What Impact You'll Have: We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). What You Must Have: * Active TS/SCI Clearance is required with the ability to obtain a CI Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings/degree can be used in lieu of the years of experience requirement) * Senior-level proficiency in Python with demonstrated experience in designing mission ready solutions. * Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data. * Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools. * Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms. * Strong SQL skills and experience querying relational databases. * Experience using Git-based version control platforms such as GitLab or GitHub. * Proficiency with geospatial processing frameworks such as GDAL or ArcPy. * Proficiency with GIS desktop software such as ArcGIS Pro or QGIS. * Ability to write clear, concise technical documentation related to software systems and automated workflows. * Ability to operate independently at a senior level with limited oversight. * Familiarity with USSOCOM and broader U.S. military organizational structures. * Familiarity with common Intelligence Community (IC) data repositories.