Senior Data Scientist — Real‑Time Analytics & Dashboards

Samsung Electronics Perú; Austin (TX); On-site; USD 106,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life insurance and 401(k) matching

Onsite café(s) and workout facilities

Paid maternity and paternity leave

PTO + 2 personal holidays and 10 fixed

Job summary

Samsung Austin Semiconductor is seeking a Senior Data Scientist who can transform terabytes of manufacturing data into a clear, visual narrative for factory leadership. You will own the full insight lifecycle, mentor junior engineers, and drive cross‑functional projects across the team.

You will lead data storytelling, build dashboards, and optimize data pipelines in a fast-paced, on-site environment to support million-dollar decisions and scalable analytics across the organization.

Qualifications

• 5+ years of relevant experience; semiconductor industry preferred.
• Strong SQL for extracting/aggregating data from multi-database environments.
• Proficiency with Python data stack (NumPy, SciPy, Pandas).
• Experience with TensorFlow or PyTorch for predictive analytics.

Responsibilities

• Drive real-time actionable insights by mining complex datasets in a 24/7 manufacturing setting.
• Design intuitive data products and dashboards for diverse stakeholders.
• Performance-tune SQL queries and Python scripts to ensure fast, reliable reports.
• Lead engineering of analytics tools, modeling business logic and maintaining code quality.

Skills

SQL

Python

Data Visualization

Machine Learning

TensorFlow

PyTorch

Tableau

Spotfire

Vue

FastAPI

Education

Bachelor's or Master's in a relevant STEM/engineering field

Tools

Tableau

Spotfire

Job description

Samsung Austin Semiconductor is seeking a Senior Data Scientist who can transform terabytes of manufacturing data into a clear, visual narrative for factory leadership. You will own the full insight lifecycle, mentor junior engineers, and drive cross‑functional projects across the team.

You will lead data storytelling, build dashboards, and optimize data pipelines in a fast-paced, on-site environment to support million-dollar decisions and scalable analytics across the organization.