Data Scientist (DMS Project)

Foxconn Industrial Internet - FII; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Foxconn Industrial Internet - FII in Houston, TX is seeking a software- and data-engineering focused professional to turn real-world user needs into production data pipelines, backend services, and data-driven applications. Emphasis is on reliability, accuracy, and production-ready systems used in daily operations.

The role collaborates with operations, manufacturing, and business teams to design scalable data workflows, optimize performance, and deliver actionable dashboards using Tableau and

Qualifications

• Experience turning raw data into structured datasets.
• Proficiency in Python, SQL, and Git in real projects.
• Strong SQL skills and understanding of database design.
• Backend APIs in Python for data access and system integration.
• Experience collaborating with cross-functional teams and translating requirements into deployable data workflows.

Responsibilities

• Gather requirements from internal users and translate them into system designs, data pipelines, and reporting specifications.
• Design, build, and maintain reliable data pipelines (ETL) using SQL and Python.
• Develop and maintain backend services and APIs to support data access and integration.
• Build and enhance BI dashboards and visualizations (Tableau) focusing on accuracy and adoption.
• Collaborate with engineers, IT, and cross-functional partners on system integration and workflow optimization.
• Optimize system performance and architecture as data volume changes.
• Monitor data quality and reliability, resolving issues impacting user experience.
• Coordinate with global teams to align on data workflows and implementations.

Skills

Python

SQL

Git

Data processing

Backend development

APIs

Tools

Docker

Tableau

CI/CD

Job description

Job Summary

This role is a software- and data engineering–focused position responsible for turning real-world user needs into production-ready data pipelines, backend services, and data-driven applications.
The primary focus is on data processing, system integration, performance, and reliability, working closely with business and operational users to continuously improve systems and dashboards so that data can be accurately and effectively used in real operational scenarios.
This role emphasizes building and operating reliable data systems rather than research-oriented modeling or algorithm development.
This role values production-ready systems that are stable, accurate, and actually used, rather than model-centric or research-driven solutions.

Key Responsibilities

• Work closely with internal users (e.g., operations, manufacturing, or business teams) to understand real usage scenarios and translate requirements into system designs, data pipelines, and reporting specifications
• Design, build, and maintain reliable data pipelines (ETL) using SQL and Python
• Develop and maintain backend services and APIs to support data access, system integration, and application functionality
• Build and enhance BI dashboards and visualizations (e.g., Tableau) with a strong focus on data accuracy, usability, and real-world adoption
• Collaborate with engineers, IT teams, and cross-functional partners on system integration and workflow optimization
• Optimize system performance and architecture as data volume and usage patterns evolve
• Proactively monitor data quality and system reliability, identifying and resolving issues that impact user experience
• Collaborate with global engineering and data teams, including partners in Asia, to align on system design, data workflows, and implementation details.

Qualifications

Must Have

• Hands-on experience with data processing, cleaning, and transformation, turning raw data into structured and usable datasets
• Proficiency in Python, SQL, and Git, with experience applying them in real projects
• Strong SQL skills; experience participating in or being familiar with database schema design, with an understanding of how data models support usage scenarios
• Backend development experience; experience participating in or being familiar with building APIs in Python to support system integration and data access
• Experience working with cross-functional teams and the ability to clearly explain technical solutions and trade-offs
• Experience collaborating with users to translate real-world requirements into deployable systems, data workflows, or dashboards

Nice to Have

• Experience with Linux and Docker, including system deployment or operations
• Familiarity with CI/CD pipelines
• Experience with database performance tuning or large-scale data processing
• Ability to communicate in Spanish or Chinese for work-related discussions
• Comfortable working in a global, cross-time-zone collaboration environment