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Python Dash Plotly Jobs (Flexible Options) in Fort Washington, MD

Data Scientist - Mid

Springfield, VA ยท On-site

$110K - $126K/yr

Proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries. * Demonstrated experience connecting ...

Proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries. * Demonstrated experience connecting ...

AI and ML Data Scientist

Mclean, VA ยท On-site

$77.60 - $176/hr

... applications using Python and modern AI/ML libraries or frameworks, including PyTorch ... Plotly, Dash, Streamlit, Tableau, or Power BI * Knowledge of intelligence tradecraft, analytic ...

... Python and modern AI / ML libraries or frameworks, including PyTorch, Scikit-Learn, LangChain ... Plotly, Dash, Streamlit, Tableau, or Power BI * Knowledge of intelligence tradecraft, analytic ...

Showing results 41-60

Python Dash Plotly information

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 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 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 the difference between Python Dash Plotly vs Data Analyst?

AspectPython Dash PlotlyData Analyst
Primary RoleDeveloping interactive data visualization dashboardsAnalyzing data to generate reports and insights
Skills RequiredPython, Dash, Plotly, JavaScript basicsExcel, SQL, statistical analysis, data visualization
Work EnvironmentData visualization development teams, tech companiesBusiness units, consulting firms, finance, marketing
CertificationsPython certifications, data visualization coursesData 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 popular job titles related to Python Dash Plotly jobs in Fort Washington, MD?

For Python Dash Plotly jobs in Fort Washington, MD, the most frequently searched job titles are:

What job categories do people searching Python Dash Plotly jobs in Fort Washington, MD look for?

The top searched job categories for Python Dash Plotly jobs in Fort Washington, MD are:

What cities near Fort Washington, MD are hiring for Python Dash Plotly jobs?

Cities near Fort Washington, MD with the most Python Dash Plotly job openings:

Exploitation Specialist/Data Scientist 11

Select Search Associates LLC

Falls Church, VA โ€ข On-site

$120 - $165/hr

Other

Posted 28 days ago


Job description

  • Falls Church, VA
Overview
We are seeking an experiencedExploitation Specialist/Data Scientistto join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.
This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.
As a Data Scientist, you will play a key role in designing, implementing, and maintaining the data architecture that supports AI/ML model development, testing, and evaluation. You will develop scalable data pipelines, integrate data from emerging sensors and platforms, and ensure data is standardized, accessible, and compliant with Government data governance requirements. Working closely with engineers, imagery scientists, and mission analysts, you will help deliver reliable, high-quality datasets that enable advanced analytics and operational decision-making.
Required Qualifications
  • 9+ years of relevant experience in data science, automation, software development, data engineering, database integration, GEOINT support, or related technical disciplines. A combination of education, professional certifications, and technical training may be considered in lieu of some years of experience.
  • Proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated experience connecting multiple databases and enterprise systems to automate data collection, transformation, and dissemination.
  • Experience automating repetitive business or analytic tasks using scripts and workflows.
  • Experience gathering and disseminating metrics and operational data.
  • Demonstrated ability to identify process inefficiencies and implement automation solutions that improve workflow performance.
  • Strong analytical and problem-solving skills.
  • Effective written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Preferred Qualifications
  • Experience supporting NGA enterprise technologies and environments, includingNGA CORE,NGA MLOps, Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
  • Experience implementing processes and tools within organizations utilizing theScaled Agile Framework (SAFe).
  • Experience developing dashboards and data visualizations to monitor operational pipeline health, data availability, currency, throughput, and overall system performance.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines to ingest, process, and store data from emerging sensors and collection platforms.
  • Create and manage database schemas, tables, and supporting infrastructure while implementing automated data quality monitoring and health alerts.
  • Develop API-based workflows to securely move sensor data between Government data platforms in accordance with program requirements.
  • Ensure all sensor data complies with Government-defined schemas, formatting standards, metadata requirements, and data governance policies.
  • Assess the impact of new sensor data on existing databases, metadata models, APIs, schemas, and ETL processes to support seamless integration into operational data pipelines.
  • Develop preprocessing and standardization workflows to prepare data for AI/ML model training, testing, and evaluation. Activities may include format conversion, imagery chipping, orthorectification, metadata normalization, and other transformation processes required to produce high-quality analytical datasets.
  • Collaborate with cross-functional teams to optimize data workflows, improve pipeline reliability, and support the delivery of mission-ready datasets for advanced analytics and machine learning applications.

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