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Remote Streamlit Jobs in California (NOW HIRING)

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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.
What are the most commonly searched types of Streamlit jobs in California? The most popular types of Streamlit jobs in California are:
What are popular job titles related to Remote Streamlit jobs in California? For Remote Streamlit jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Streamlit jobs in California look for? The top searched job categories for Remote Streamlit jobs in California are:
What cities in California are hiring for Remote Streamlit jobs? Cities in California with the most Remote Streamlit job openings:
Remote Streamlit jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 11 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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