Data Intelligence Supervisor

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

Samsung Austin Semiconductor is one of the most advanced semiconductor manufacturing facilities in the world with more than 3,000 employees and 2.45 million square feet of floor space. Samsung Austin Semiconductor has broad semiconductor process technology offerings serving customers in various application areas including mobile, consumer, networking/high performance computing, Internet of Things, RF and automotive. Since 1996, SAS has invested approximately $17 billion in its Austin, TX campus, making it one of the largest direct foreign investments in United States history. Samsung Austin Semiconductor is a US-based subsidiary of Samsung Electronics Co., Ltd. The Austin facility is one of the few semiconductor plants the company has outside South Korea. Visit www.samsung.com/us/sas.
SAS is focused on being the World’s Best Foundry product supplier.

Role and Responsibilities

• Lead and coach a team of experienced data scientists with the goal of improving factory outcomes including yield, excursion prevention, cycle-time, cost, and output.
• The ideal candidate has hands on experience implementing solutions that utilize the full data science cycle including data extraction, cleaning, exploration, machine learning, as well as visualization for end users.
• Strong people skills with ability to listen and build consensus among a very experienced team.
• Manage and mentor a highly technical team in their technical and professional development.
• Implements factory improvements derived by signals generated using department’s machine learning applications.
• Simplifies complex topics and communicates effectively at all levels of the organization.
• Collaborates with leaders across the organization to understand business problems, find opportunities, and translate those requirements into technical solutions.
• Researches new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team.
• Responsible for the quality of team’s deliverables (both accuracy as well as clarity).
• Documents white papers / trade secrets.
• Budget/Project Management which include software licenses and hardware purchases.
• Work days and hours: 1st-Shift, M-F 8am - 5pm.

Skills and Qualifications

• Bachelor’s Degree in “STEM” field (Science, Technology, Engineering, Mathematics or Data Science).
• Masters preferred.
• At least 2 years of hands-on experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Semiconductor Manufacturing Knowledge.
• A proven track record of using quantitative analysis to deliver business outcomes.
• Programming in different statistical languages such (SAS, Python, R, Spark).
• Experience in software development toolkits (Jira and Git).
• Agile/Scrum Development Experience.