Streamlit Developer / Jr. Data Scientist

nExperience: 5+ Years

nContract: Contract Position

nTech Stack: Python, Streamlit, SQL, Snowflake, Pandas

nAbout the Role

nWe are looking for a Streamlit Developer / Jr. Data Scientist to join a Consumer Business Intelligence team at a global consumer health company. The role will focus on building and maintaining interactive internal applications that help commercial and brand teams analyze e-commerce and product performance data.

nYou will own the application/frontend layer, including pages, tables, filters, charts, dashboards, and interactive calculators powered by Snowflake data.

nKey Responsibilities

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- Build and maintain multi-page Streamlit applications for internal business users.
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- Develop interactive dashboards with data tables, filters, charts, pivot views, metric cards, and timeframe selectors .
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- Write and optimize SQL queries in Snowflake , including joins, aggregations, and window functions.
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- Use Python and Pandas to develop data-driven applications and transform datasets.
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- Work closely with data scientists to present model outputs in a simple, user-friendly format.
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- Deploy and migrate Streamlit applications across different environments.
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- Troubleshoot production issues related to serialization, caching, session state, and application performance .
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- Optimize applications for large datasets and improve page-loading performance.
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- Follow Git, code review, and standard development practices .
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- Work independently from written requirements and proactively identify unclear or impractical requirements.
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nMust-Have Skills

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- 2+ years of professional experience building data applications using Python.
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- Strong hands-on experience with Streamlit and multi-page application development.
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- Strong SQL skills, including joins, window functions, and aggregations.
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- Hands-on experience with Snowflake .
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- Positive knowledge of the Python data stack, especially Pandas .
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- Experience with Git and code review practices .
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- Strong understanding of Streamlit session state, caching, layout, and performance optimization .
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nGood to Have

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- Experience with PySpark .
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- Exposure to Databricks .
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- Experience in e-commerce, retail, or CPG/consumer goods domains.
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- Experience presenting or demonstrating data applications to non-technical business stakeholders .
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nIdeal Candidate

nThe ideal candidate should be able to independently develop production-ready Streamlit applications, work confidently with Snowflake data, and convert complex analytical outputs into intuitive applications for business users.

📌 Streamlit Developer / Jr. Data Scientist (5+ yrs) (Pushkar)
🏢 MindBrain
📍 Pushkar