Data Scientist

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  • Rodzaj umowy
    Praca Stala
  • Lokalizacja

Adecco Poland Sp. z o.o. jest Agencją Zatrudnienia nr 364

Opis klienta:

Our client from automotive industry is looking for specialists to build the most captivating experiences in the latest frontier of Automotive TechnologyGlobal Analytics & Data Products Team is looking for a Data Scientist. As a key member of the Data Science Team, your mission is to put science into decision making. You will be part of a global driven engineering organization with a modern state of the art agile culture.

Zakres odpowiedzialności:

  • Partnering with cross-functional teams to prioritize domain use cases for customer engagement and monetization
  • Developing novel research to draw conclusions from behavioral data and directly influence development
  • Design, analysis, and execution of experiments within your domain assignments
  • Providing technical leadership to other data scientists with a wide range of backgrounds through code reviews
  • Understanding stakeholders’ needs and educating partners on the data and technology advantages
  • Democratization of learning by sharing knowledge through internal repositories, workshops and other events
  • Evangelization of our data science practice within the company to increase research utilization and recruit new talent

Profil kandydata:

  • MSc / MEng degree in Statistics, Computer Science, Automatic Control, Physics, Engineering or a related discipline
  • around 5 years of experience in advanced analytics / data science and solid knowledge of machine learning concepts
  • Strong technical skills with SQL, Python for data analysis and experience in building ML-driven products
  • Experience with distributed analytical processing technologies - Spark, Hive, Presto, BigQuery, Redhsift
  • Experience in deriving narrative from data and communicate the results to various audiences effectively
  • Demonstrated programming skills in commercial software development settings a plus

We are offering:

  • Contract of employment
  • Remote working model
  • Private medical care
  • Extra social benefits
  • Languages learning platform
  • Corporate products and services at discounted prices