Streamlit Developer / Jr. Data Scientist (5+ Yrs) (WFH)

About the job:

Streamlit Developer / Jr. Data Scientist

Experience: 5+ Years

Contract: Contract Position

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

About the Role

We 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.

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

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

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

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

Ideal Candidate

The 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.

Who can apply:

Only those candidates can apply who:
- have minimum 5 years of experience

Salary:
Competitive salary

Experience:
5 year(s)

Deadline:
2035-01-01 00:00:00