Jobs via Dice
Lead Data Scientist (Semiconductor Manufacturing Domain)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist in the Semiconductor Manufacturing domain, located in Santa Clara, CA. The contract lasts over 6 months, requiring expertise in computer vision, machine learning, Python, and relevant libraries. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 9, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Santa Clara, CA
-
🧠 - Skills detailed
#Version Control #Python #Unsupervised Learning #GIT #Data Science #OpenCV (Open Source Computer Vision Library) #ML (Machine Learning) #TensorFlow #Image Processing #"ETL (Extract #Transform #Load)" #NumPy #Supervised Learning #Libraries #PyTorch #Regression
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Galent, is seeking the following. Apply via Dice today!
Job Information:
Position: Data Scientist
Location: Santa Clara, CA
Duration: Contract / Full Time
Industry: Semiconductor Manufacturing (Mandatory)
Job Summary:
• Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection
• Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning
• Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch.
• Familiarity with version control (Git) and collaborative development practices
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Galent, is seeking the following. Apply via Dice today!
Job Information:
Position: Data Scientist
Location: Santa Clara, CA
Duration: Contract / Full Time
Industry: Semiconductor Manufacturing (Mandatory)
Job Summary:
• Solid knowledge of computer vision programs and image processing techniques: Filtering, Binary Morphology, Perspective/Affine Transformation, Edge Detection
• Strong understanding of machine learning: Regression, Supervised and Unsupervised Learning
• Proficiency in Python and libraries such as OpenCV, NumPy, scikit-learn, TensorFlow/PyTorch.
• Familiarity with version control (Git) and collaborative development practices
