Data Scientist | Athina, Greece 10 Jan, 2022 - 4 Mar, 2022

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Employer: AIESEC in Romania
Domain:
  • Others
  • Job type: stagiu de internship
    Job level: Student/Graduate
    Location:
  • Abroad
  • Updated at: 22.09.2021
    Remote work: On-site
    Short company description

    Do you want to start your career in a unique way?
    AIESEC's international programs can help you can expand your horizon and develop your career in a global setting. Our opportunities are related to the areas of Marketing, Business Administration, Business Development, Engineering, Finance and IT.

    The organization's activity has been extensive since 1948, through volunteer projects, internships and international teaching campaigns to support a multicultural understanding of the world. AIESEC's activity is led by young enthusiasts from all over the world in order to develop the leadership potential of young people through challenging experiences.

    AIESEC is a non-profit organization that offers paid and unpaid internships in start-ups, medium-sized or even multinational companies. Whether we are talking about a start-up in tourist countries such as Portugal or Greece or the multinational DHL, Microsoft from Belgium, our organization offers you various perspectives to build your desired career and travel abroad.

    What are you waiting to upscale your career?
    Check out our website for some testimonials: aiesec.org.ro

    Requirements

    Backgrounds
    Computer sciences
    Statistics
    Skills

    Data Analytics
    Data Analysis
    Data Science

    Languages
    English

    Minimum study level
    Bachelor

    Responsibilities

    Data scientists help organizations to solve vexing problems. Combining computer science, modeling, statistics, analytics, and math skills—along with sound business sense—data scientists uncover the answers to major questions that help organizations make objective decisions.

    Working hours
    Monday to Friday, 10:00am - 6:00pm

    Responsibilities
    Develop a comprehensive and deep understanding of the crop modelling data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance the company's proficiency/efficiency in understanding and appropriately using the data.
    Stay current with and adopt emergent analytical methodologies, crop modelling tools and applications to ensure fit-for-purpose and impactful approaches. Choosing and using the right analytical approach for each task.
    Apply rigor in analytical methods; plan for data processing; design a fit-for-purpose analysis plan.
    Communicate findings to the team and participate in meetings to present your insights.

    Achievables:
    Produce downscaling for two provided regions from two gridded climatic variables
    Produce gridded maps from historical weather station data of two provided regions

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