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Python Dash Plotly Jobs (Flexible Options) in New York, NY

Jetro Restaurant Depot

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling ... Experience with Plotly Dash or Streamlit * Familiarity with Selenium is a plus * Familiarity with ...

Jetro / Restaurant Depot

Data Analyst

Whitestone, NY

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling ... Experience with Plotly Dash or Streamlit * Familiarity with Selenium is a plus * Familiarity with ...

Millennium Management LLC

Data Scientist

New York, NY · On-site

$165K - $250K/yr

Strong Python skills are required. Hands-on experience with large language models (LLMs) and their ... Strong data visualization and storytelling abilities using tools such as Plotly, Dash, Streamlit ...

Engelhart

Junior Quantitative Developer

New York, NY

$150K - $180K/yr

Strong practical skills with Python (e.g. pandas/numpy/plotly/Jupyter). * Solid understanding of ... Experience building analytics dashboards using frameworks like Dash. * Experience working with SQL ...

The Trade Desk

Sr. Finance Analyst - FP&A

New York, NY · On-site

$93K - $116K/yr

Experience with Python data and visualization tooling such as pandas and plotly. * Experience building lightweight applications for analysts and business users (e.g., Streamlit, Dash, or similar)

Engelhart

Junior Quantitative Developer

New York, NY · On-site

$150K - $180K/yr

Strong practical skills with Python (e.g. pandas/numpy/plotly/Jupyter). * Solid understanding of ... Experience building analytics dashboards using frameworks like Dash. * Experience working with SQL ...

All JobsPython Dash Plotly JobsPython Dash Plotly Jobs in New York, NY

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 are Python Dash Plotly developers?

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?

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 the key skills and qualifications needed to thrive as a Python Dash Plotly Developer, and why are they important?

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.
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Python Dash Plotly jobs near you
Technical Delivery Manager - GenAI

Technical Delivery Manager - GenAI

TriOptus LLC

Manhattan, NY • On-site

Other

Posted 4 days ago

Job description

Technical Delivery Manager - GenAI
Remote - Need some flexibility on time zone.
6-12 months assignment with possibility for extension
Job Description:
Required Skills & Experience
  • Proven experience in coordinating, planning, and prioritizing tasks for medium-to-large engineering teams.
  • Good knowledge of GenAI architectures, RAG pipelines, vector databases, and prompt engineering.
  • Proficiency in Python, JavaScript, and TypeScript.
  • Familiarity with FAISS, Pinecone, Milvus, and retrieval optimization.
  • Understanding of cloud-based LLM providers like OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock.
  • Experience in API design and integration architecture for AI/ML systems
  • Experience in building ETL workflows and data cleaning pipelines for production.
  • Practical experience with MongoDB, including querying and optimization.
  • Experience designing reporting and dashboard solutions with Plotly, Dash, PowerBI, or custom tools.
  • Skilled with Git, Docker, and CI/CD pipelines (GitHub Actions preferred).
  • Good debugging and performance optimization skills.
  • Ability to drive high-quality initiatives to completion in fast-paced environments.

Preferred Qualifications
  • Experience leading production-level GenAI or RAG deployments.
  • Experience building scalable data visualization frameworks and dashboards.
  • Proficiency with cloud platforms (Azure, AWS, or GCP) for data and AI.
  • Background in defining and implementing AI system metrics and KPIs
  • Experience in vendor evaluation and management for AI services
  • Good ability to collaborate and mentor across engineering, product, and data science teams.

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