Data Scientist

4 days ago

Sunnyvale, CA, United States Sql Pager LLC Full time

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

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