Data Scientist
Vertiv Group Corp
Bucuresti
2 zile în urmă
source : EJOBS GROUP

Candidatul ideal

What will make you successful

  • University bachelor degree in in Computer Science, Engineering;
  • At least 5 years of professional experience in similar position (as Data Scientist / Analyst);
  • Graduate degree in Data Science or other quantitative field is preferred;
  • English - Advanced / native level spoken and written;
  • Python or R, SQL are required ;
  • Machine learning & statistics knowledge are required;
  • Good Excel knowledge is preferred, but not mandatory;
  • Power BI, Data Warehouse are preferred;
  • Big Data (Hadoop / Spark), Linux / Bash are preferred;
  • Key competencies :

  • Experience of working in a global environment essential;
  • Ready to move beyond own area of comfort;
  • An expert with a strong personality who is able communicate clearly;
  • Open minded, reacts positively to feedback and change;
  • High perseverance & commitment;
  • Capacity to expose data in easy to understand visuals, communicate main conclusions from there + desire to learn about the domain in which he is applying data science;
  • Strong team player, supports and motivates other team members;
  • Able to set priorities, when needed to flexibly adjust and reshuffle work agenda and priorities;
  • Communicative, flexible, able to cope with stress.
  • Descrierea jobului

    I. Why do we have this role in the organization and why do we need to hire someone in this role :

    As Data Scientist you will analyze large amounts of raw information / data to find & create patterns, convert unstructured data into structured data and build models that will help us to extract valuable business insights and analyze trends to help our business to make better decisions.

  • You will collaborate with Python Developer Subject Matter Expert;
  • In this role, you should :

  • Be highly analytical and able to apply mathematical and statistical methods;
  • Have critical thinking and problem-solving skills for interpreting data;
  • Be passionate about machine-learning, Predictive & Maintenance (for example predict the failure in UPS lifecycle);
  • II. What will you be expected to do to reach success & optimal performance?

  • Collecting large amounts of unstructured data and transforming them into structure and more usable format;
  • Looking for order and patterns in data, as well as spotting trends that can help a business's bottom line;
  • Build and deploy models and solutions with respect of the specific business needs;
  • Visualization of the data using business intelligence tools (Power BI, etc.);
  • Solving business-related problems using data-driven techniques;
  • Working with a variety of programming languages (Python, SQL);
  • Apply machine learning techniques in building predictive models and algorithms to improve the processes;
  • Having a solid grasp of statistics, including statistical tests and distributions;
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