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Remote Streamlit Jobs (NOW HIRING)

Lorven Technologies

IN-IDOH Data Scientist - Remote

Remote - Resource must be currently located in Indiana Interview process: Webcam only Contract Role ... Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions * Business acumen and ability to ...

Pluralsight LLC

Staff Data Scientist

Experience with data visualization and lightweight app frameworks (e.g., Streamlit or comparable ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

Swoop

Staff AI/ML Engineer, MyHealthTeam

$240K - $260K/yr

Ability to prototype end-to-end experiences (e.g., Streamlit, Gradio, lightweight frontends ... This role is fully remote, with optional in-person collaboration at our San Francisco office. Why ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

Shiny, Dash, Streamlit, React, Veu.js). * Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure). * Familiarity with the drug discovery and development process is a plus Remote ...

Zscaler

Senior Manager, Enterprise Data Platform

Experience leveraging Snowflake's advanced AI capabilities (e.g., Cortex, Snowpark) and building custom data applications using Streamlit #LI-DY1 #LI-remote #LI-DY1 #LI-remote Zscaler's salary ranges ...

Planet

Commercial AI Innovation Lead

OR · On-site +1

This is a full-time, remote position based in the United States. If located near an office, you are ... Hands-on experience with rapid prototyping tools and vibe coding workflows (Cursor, Streamlit, or ...

Arcadia

Staff Software Engineer

Washington, DC · On-site +1

$165K - $295K/yr

Work with fully remote teams Must Haves: * Bachelor's degree in Computer Science or related field ... Experience with a Python data science ecosystem (Jupyter, Pandas, Streamlit, etc.) * Experience ...

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Remote Streamlit information

What is a Remote Streamlit developer?

A Remote Streamlit developer is a software professional who specializes in building interactive web applications using the Streamlit framework, while working remotely. Streamlit is a popular open-source Python library used for creating data apps quickly and efficiently, often for purposes such as data visualization, machine learning model deployment, and dashboard creation. Remote Streamlit developers collaborate with teams and stakeholders from different locations, using online tools to communicate and manage projects. Their role typically involves writing Python code, integrating APIs, deploying applications to the cloud, and ensuring a smooth user experience. They are in demand in industries that rely on data analysis and seek rapid prototyping of web-based tools.

What is the difference between Remote Streamlit vs Data Analyst?

AspectRemote StreamlitData Analyst
Required skillsPython, Streamlit, data visualizationExcel, SQL, data interpretation
Work environmentRemote, project-basedRemote or on-site, business-focused
Industry usageTech, startups, data-driven projectsFinance, marketing, healthcare

Remote Streamlit professionals focus on building interactive data apps using Python and Streamlit, often working remotely on specific projects. Data Analysts analyze and interpret data using tools like Excel and SQL, with broader industry applications. While both roles involve data, Remote Streamlit emphasizes app development and visualization, whereas Data Analysts focus on data insights and reporting.

What are the key skills and qualifications needed to thrive as a Remote Streamlit Developer, and why are they important?

To thrive as a Remote Streamlit Developer, you need strong proficiency in Python programming, experience with web application development, and a solid understanding of data visualization principles. Familiarity with the Streamlit framework, Git version control, and cloud deployment platforms is typically required. Strong problem-solving, self-motivation, and clear communication skills enable effective remote collaboration and project delivery. These competencies ensure the creation of interactive, reliable, and visually appealing data applications in distributed work environments.

How does a Remote Streamlit Developer typically collaborate with cross-functional teams when working on data-driven applications?

As a Remote Streamlit Developer, collaboration is often facilitated through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, analysts, and project managers to gather requirements, iterate on prototypes, and ensure the final application meets user needs. Effective communication and proactive updates are key, as you may be responsible for translating complex data analyses into interactive web apps that are accessible to non-technical stakeholders. Tools like Slack, Jira, and GitHub are commonly used to streamline teamwork and maintain project momentum in a remote setting.
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Remote Streamlit jobs near you
Digital Personalization Analytics Expert (Remote)

Digital Personalization Analytics Expert (Remote)

Kohl's

Remote

Full-time

Posted 23 days ago

Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,452 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

Job Summary:
Kohl's is seeking a Digital Personalization Analytics Expert to enhance digital customer experiences through advanced analytics. The role involves leveraging large-scale data for customer engagement, leading data science initiatives, and mentoring junior data scientists while promoting best practices in machine learning.
Responsibilities:
• Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value
• Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment
• Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies
• Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders
• Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability
• Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence
• Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications
• Champion production-grade machine learning practices, promoting scalable code and robust deployment standards
• Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact
• Establish and maintain strong working relationships and achieve results by working collaboratively with others
• Additional tasks may be assigned
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field
• 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience
• Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value
• Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub
• Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly
• Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.
Preferred:
• Master's degree and/or Ph.D.
• Digital / Ecommerce data science experience
• Retail and Marketing experience
Company:
Kohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states. Founded in 1988, the company is headquartered in Menomonee Falls, USA, with a team of 10001+ employees. The company is currently Late Stage.

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