Opis oferty pracy

You will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for the client. You will work with other engineers and product teams to create the best-in-class data platform with leading capabilities to support the business solve the most critical challenges through data solutions.

 

Your Role:

  • Very high complexity analytical models (combinatorial models, deep learning, on structured and unstructured data, 'at rest' and streaming);
  • Implementation in code and/or use/administration at "Expert" (certified) level of PaaS cloud services (Azure preferred), advanced analytics libraries (TensorFlow, Keras, Caffe, PyTorch) and Big Data tools (e.g. Kafka, Hadoop, Spark and equivalents).
Wymagania dotyczące stanowiska
  • Further academic training (at Master's or PhD level) in the area of applied statistics, data mining, machine learning or related quantitative discipline;
  • Microsoft Certified Azure Data Scientist Associate Certification;
  • More than 5 years of experience as a Data Scientist;
  • Good technical knowledge of data architecture, different data structures, data normalization and dimensional modeling;
  • Knowledge in Azure tools: Databricks, Data Factory and Data Lake;
  • Experience in processes supporting data transformation and control (ETL);
  • Strong knowledge in programming languages, namely SQL, Python, PySpark;
  • Experience in reporting tools: Sas Enterprise Guide, PowerBI and DAX/M language;
  • Strong analytical skills and critical spirit;
  • Sense of responsibility and rigor, and focus on problem solving.
Benefity

Referral bonuses for recommending your friends to Capgemini Engineering;

Continuous training on Next*;

Offices in a great location;

Participation in international projects;

Integration in a multinational company;

Career Evolution.

Szczegółowe informacje o ofercie pracy
Sektor:
Information and communication
Pole zawodu:
Engineering professionals (excluding electrotechnology)
Doświadczenie zawodowe:
Work experience is required
Czas trwania doświadczenia zawodowego:
More than 5 years
Widełki wynagrodzeń:
Not provided
Date of expiry:
Link for more information:
www.linkedin.com/jobs/view/3348078244/?capColoOverride=true

About organisation

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55… Dowiedz się więcej

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