Data Science Internship @Amazon

Employer: Jobs from top companies in Romania
Domain:
  • IT Hardware
  • IT Software
  • Job type: full-time
    Job level: Student/Graduate
    Location:
  • Iasi
  • Updated at: 07.01.2021

    DESCRIPTION

    We are looking for motivated data scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of our systems. You will have strong modeling skills and are comfortable owning data and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to resolve root cause of systems errors and changes, and present findings to business partners to drive improvements.
    Applicants have a demonstrated ability to manage medium-scale modeling projects, identify requirements, and build methodology and tools that are statistically grounded. You will have experience collaborating across organizational boundaries.

    BASIC QUALIFICATIONS

    · Enrolled in Master’s or Ph.D. degree in math, statistics, computer science, or related science field.
    · Experience with regression modeling, forecasting, and time series analysis.
    · Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
    · Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.).
    · Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data.

    PREFERRED QUALIFICATIONS

    · Enrolled in Ph.D. degree in math, statistics, computer science, or related science field.
    · Experience in machine-learning methodologies (e.g., supervised and unsupervised learning, deep learning, etc.)
    · Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive).
    · Experience in communicating technically, at a level appropriate for the audience.
    Equal Opportunities:
    Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

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