Senior Data Scientist
PDF Solutions - Santa Clara, CA
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At PDF Solutions, we’re transforming the semiconductor and electronics manufacturing industry with our AI platform that improves yield and lowers manufacturing costs at some of the largest chip makers in the world. We’re seeking an experienced Data Scientist to join our team, who is responsible for developing pipelines to enable and drive production of the world’s most advanced chips. We look for people who are self-motivated and passionate about the transformative potential of AI. You’ll be able to hone your skills while working side by side with industry experts who have decades of experience. The candidate must be an organized and highly motivated team player with strong initiative and communication skills, and possesses the drive to deliver quality results on time in a complex, intensive, and highly productive environment.Help design, implement, and validate the ML Pipelines while collaborating with other data scientists.Coordinate and collaborate with other Software Development group so that ML Pipeline fits well with the rest of PDF Solutions’ software applications.Balance adding new features with the need for stability and performance.Grow development capabilities to align with the pace of business needs.Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development3+ years of experience with Python coding3+ years of recent experience working as a Data Scientist in industryExperience with developing production-grade code, preferably in PythonExperience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learnStrong professional written and verbal communication skillsAbility to pass a Data Science skills-based testExperience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similarAbility to create model-ready data from raw data, at scaleAbility to translate business problems into data science pipelinesComfort with ML theory to recommend solutions beyond the standard librariesMust be able to work independently and as part of a diverse interdisciplinary and international teamCommunicates clearly to technical and non-technical audiencesEmpathy with customer business challengesAbility to map business problems to software and data science techniques.Understanding of fundamental data science and machine learning pipeline including data cleansing, feature engineering, imputation, model tuning, and model predictionBasic understanding of the pros and cons of different machine learning algorithms, and basic understanding for different types of open source ML frameworks Understanding of hypervisors/containers, especially DockerUSD $120,000.00 - USD $160,000.00 /Yr.
Created: 2024-09-07