Senior Data Scientist
Posted on Sep 15, 2024 by PDF Solutions
Santa Clara, CA
Research
Immediate Start
Annual Salary
Full-Time
Overview:
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.
Responsibilities:
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.
Qualifications:
Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
3+ years of experience with Python coding
3+ years of recent experience working as a Data Scientist in industry
Experience with developing production-grade code, preferably in Python
Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
Strong professional written and verbal communication skills
Ability to pass a Data Science skills-based test
Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
Ability to create model-ready data from raw data, at scale
Ability to translate business problems into data science pipelines
Comfort with ML theory to recommend solutions beyond the standard libraries
Must be able to work independently and as part of a diverse interdisciplinary and international team
Communicates clearly to technical and non-technical audiences
Empathy with customer business challenges
Ability 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 prediction
Basic 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 Docker
Pay Range:
USD $(phone number removed) - USD $(phone number removed) /Yr.
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.
Responsibilities:
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.
Qualifications:
Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
3+ years of experience with Python coding
3+ years of recent experience working as a Data Scientist in industry
Experience with developing production-grade code, preferably in Python
Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
Strong professional written and verbal communication skills
Ability to pass a Data Science skills-based test
Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
Ability to create model-ready data from raw data, at scale
Ability to translate business problems into data science pipelines
Comfort with ML theory to recommend solutions beyond the standard libraries
Must be able to work independently and as part of a diverse interdisciplinary and international team
Communicates clearly to technical and non-technical audiences
Empathy with customer business challenges
Ability 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 prediction
Basic 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 Docker
Pay Range:
USD $(phone number removed) - USD $(phone number removed) /Yr.
Reference: 200033737
https://jobs.careeraddict.com/post/95279768
Senior Data Scientist
Posted on Sep 15, 2024 by PDF Solutions
Santa Clara, CA
Research
Immediate Start
Annual Salary
Full-Time
Overview:
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.
Responsibilities:
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.
Qualifications:
Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
3+ years of experience with Python coding
3+ years of recent experience working as a Data Scientist in industry
Experience with developing production-grade code, preferably in Python
Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
Strong professional written and verbal communication skills
Ability to pass a Data Science skills-based test
Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
Ability to create model-ready data from raw data, at scale
Ability to translate business problems into data science pipelines
Comfort with ML theory to recommend solutions beyond the standard libraries
Must be able to work independently and as part of a diverse interdisciplinary and international team
Communicates clearly to technical and non-technical audiences
Empathy with customer business challenges
Ability 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 prediction
Basic 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 Docker
Pay Range:
USD $(phone number removed) - USD $(phone number removed) /Yr.
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.
Responsibilities:
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.
Qualifications:
Master's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or similar discipline with industrial experience in software development
3+ years of experience with Python coding
3+ years of recent experience working as a Data Scientist in industry
Experience with developing production-grade code, preferably in Python
Experience with data science and machine learning, including Python libraries such as NumPy, SciPy, Pandas and Scikit-learn
Strong professional written and verbal communication skills
Ability to pass a Data Science skills-based test
Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar
Ability to create model-ready data from raw data, at scale
Ability to translate business problems into data science pipelines
Comfort with ML theory to recommend solutions beyond the standard libraries
Must be able to work independently and as part of a diverse interdisciplinary and international team
Communicates clearly to technical and non-technical audiences
Empathy with customer business challenges
Ability 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 prediction
Basic 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 Docker
Pay Range:
USD $(phone number removed) - USD $(phone number removed) /Yr.
Reference: 200033737
Share this job:
Alert me to jobs like this:
Amplify your job search:
Expert career advice
Increase interview chances with our downloads and specialist services.
Visit Blog