Data Science Manager

Há 6 dias

São Paulo SP, Brasil Samsung Electronics Tempo inteiro

Who are we?

  • Samsung Electronics has grown into one of the world’s leading technology companies, and is recognized as one of the top 5 global brands. As a global leader in technology, we are transforming the world and we are proud to bring the creativity and diversity of its talented people who drive this transformation.
  • The success of our company reflects the determination and talent of our people, in connection with our key corporate values: People, Excellence, Change, Integrity and Co-prosperity.

Areas of Responsibilities in this role, you will be responsible for:

  • Analyze large volumes of data in order to obtain relevant insights to the business (Product, Marketing and Sales team), leveraging sales and profit based on data of different sources
  • Work with stakeholders in cross-projects and team settings to identify and clarify business or product opportunities
  • Provides feedback that transforms and embodies business questions into traceable analytics, evaluation metrics, or mathematical models
  • Explore data to identify profit and sales opportunities, trends and anomalies Integrate data from different systems to create unified views of data to drive business decisions
  • Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions.
  • Communicate data insights to stakeholders.

Requirements

  • knowledge in Python
  • Desirable Knowledge of R
  • Advanced knowledge of SQL
  • Knowledge of data visualization/presentation tools
  • Problem solving
  • Critical analysis
  • Communication and presentation of results
  • Collaboration and teamwork
  • Advanced English

Preferred:

  • Well-versed in Data Science models; Advanced knowledge in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.
  • Degree in computer science/engineering or quantitative discipline (Statistics, Engineering, Physics, Mathematics.)

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