Please apply using the following link
• https://app.workstory.io/public/job?meta=eyJpZCI6MTF9
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 our 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
Location: Sunnyvale, CA
Posted: Aug. 8, 2024, 11:58 p.m.
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