This role pays less than
71%
of similar roles. Most pay
$126,800–$191,250
— the shaded band above.
At the midpoint, this role pays about
$132k
versus about
$159k
for comparable roles.
Based on 240 similar postings.
Employer
About Samsung Electronics
Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.
Samsung Electronics currently has
94 open roles
on FindRole.
Listed pay typically runs
$106,000–$174,500
across 58 roles with salary data.
As a Senior Data Scientist at Samsung Austin Semiconductor, you will join a collaborative, sprint-driven team to build and deploy machine learning systems that improve the semiconductor manufacturing process. You will manage the full model lifecycle, including data preparation, feature engineering from high-frequency time-series and tabular data, algorithm selection, and automated retraining. Your daily work involves developing supervised models for anomaly detection, root cause analysis, and virtual metrology while ensuring results are actionable for process engineers. To succeed, you must possess advanced proficiency in Python and SQL, along with experience using PySpark to scale large datasets. You will apply techniques such as categorical encoding, missing value imputation, and SHAP for model interpretability. The role focuses on solving complex manufacturing challenges by transforming raw process and quality data into reliable predictive models within an Agile environment.
What does a Data Scientist earn?
Median $162025 from 276 postings across 61 companies.