Description

You will apply statistical modeling and machine learning techniques to solve complex data science problems.

Responsibilities

  • Develop and implement AI/ML models using supervised machine learning, decision trees, and logistic regression.
  • Build pipelines for near real-time big data ingestion, processing, parsing, and normalization.
  • Integrate data solutions with mobile devices via APIs, OS, and embedded software.
  • Work with web servers, web applications, and HTML/Java environments.

Required Skills

  • BS or MS in Data Analytics, Computer Science, Math, Applied Math, or equivalent.
  • Strong foundation in statistics and mathematics.
  • Hands-on experience with supervised machine learning, decision trees, and logistic regression.
  • Proficiency in Python.
  • Experience with data ingestion and processing in near real-time environments.
  • Knowledge of mobile device integration, including APIs and embedded software.
  • Experience with web applications, HTML, and Java.
  • Experience with C and/or GoLang.

Preferred Skills

  • Experience with Kafka or publish/subscribe data models.
  • Understanding of TCP/IP, networking, and data packets.
  • Knowledge of 3GPP, LTE, 5G, and streaming technologies.

Key Skills
Education

Any graduate

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