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Vacancy: Data Scientist

Duties

  • Translate business requirements into software architecture and design;
  • Lead data analytics and data science work for individual use cases;
  • Implement & automate data collection from Internet Apps for analytics of content curation, placement, selection, recommenders, e.g. using device farm or other methods;
  • Participate in Agile ceremonies, schedule and hold periodic code reviews, track own scope of work and progress using relevant tools;
  • Work to be done in Unix/Linux environment using Golang and scripting languages, designing and developing production quality data driven algorithms, workflows, functions;
  • Provide documentation to any and all new code development or code changes that are made to existing code base, and document existing reports;
  • Identify, resolve and support the retest of all defects discovered during testing;
  • Assist in deployment of system to production, including validation that deployment was successful;
  • Support production issues in a timely manner dependent upon severity.

Skills

Must have:

  • 3-5 years of experience;
  • BS or MS in Data Analytics/ Computer Science/Math/Applied Math or equivalent;
  • Strong experience with AI/ML models and techniques, such as supervised machine learning, decision trees and logistic regression will help solve a range of data science problems, hands-on working knowledge of 3rd party, open source tools, such as supervised machine learning, decision trees and logistic regression will help solve a range of data science problems;
  • Foundation in statistics and math;
  • Programming skills;
  • Knowledge of Python, and (highly desired) C and/or Golang;
  • Experience with ingestion of big data in near real time, and data processing/parsing/normalization.

Nice to have:

  • Experience working with mobile devices using APIs, OS, embedded software;
  • Experience working with web servers, HTML/Java, web applications;
  • Experience with publish/subscribe models (such as Kafka) of data sharing/exchange;
  • Experience working with data packets, understanding of TCP/IP and networking;
  • Knowledge of video, audio, streaming technologies;
  • Agile process experience;
  • Knowledge of 3GPP, LTE and 5G.

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