Data Scientist Researcher

3 weeks ago

Mountain View, California, United States Acro Service Corp Full time

Acro Service Corp is seeking a highly skilled Data Scientist Researcher to join our team. As a key member of our research team, you will be responsible for defining research goals and tasks for AI and/or data technology. You will work closely with university researchers on emergent AI and data technologies and algorithms, and develop data platforms where this platform can be used widely across multiple business services.

Key Responsibilities:

  • Define research goals and tasks for AI and/or data technology.
  • Work with university researchers on emergent AI and data technologies and algorithms.
  • Research and develop data platforms where this platform can be used widely across multiple business services.
  • Generate patents and publications.
  • Lead discussions of multiple products/applications using emerging data and AI technologies.
  • Research and develop new capabilities within the data domains.
  • Develop innovative ideas and solutions for AI and data domains that deliver better performance, scalability, lower cost, and reliability.
  • Conduct PoC and benchmarks data services/capabilities to compare performance, costs, and other criteria.
  • Technology transfer ITL research to advanced development or valuable business contribution to the company.
  • Obtain patents and publish research in prestigious journals and conferences.
  • Regularly champion research and present/influence to VP and GVP level and show AI or data technology expertise.

Requirements:

  • PhD in Computer Science, Math, Statistics, or related field.
  • Hands-on experience in R&D with proven credential in patents and publications - 5 years.
  • Strong familiarity with end-to-end data services/domains and technologies.
  • Data Ingest (ETL, ELT, File, Streaming, Queue, etc.).
  • Data integration (Quality, cleansing, labelling, API, etc).
  • Data Processing.
  • Data Access.
  • Data Analytics (familiar with different tools).
  • Databases (unstructured and structured – SQL, NoSQL, Vector, RDMBS, etc.).
  • Data Storage technology (SSD, HDD, etc).
  • Memory/Cache.
  • PoC and Benchmarking experience in AI or data infrastructure.
  • Strong research interest in data areas where data is the foundation for AI computer.
  • Research experience with data infrastructure, platform development, IoT, etc - 3 years.
  • Experience with advanced data platform, distributed cloud systems & architecture including data management, data ingestion, data analytics, data processing, data observability for infrastructure, data normalization, clustering, logs, tools, monitoring, etc. - 3 years.
  • Hands-on prototyping and programming knowledge (e.g. Python, SQL/NoSQL, Kafka, Spark, etc). – 3 year.
  • Managed research projects, e.g., planning, reporting, and managing time / team / outside collaborators – 3 year.
  • Well-developed interpersonal and communication skills, including ability to respond professionally in all types of situation.

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