Állás részletei

Senior Expert Data Science & Analytics

Karrier szint
Középfok (2-5 év), Szenior (5-10 év)
Foglalkoztatási típus
Teljes munkaidő
Nyelvismeret
Angol - Haladó
* minden nyelv kötelező
Munkavégzés helye
Helyek száma
1

The job holder will be part of an integrated Technology & Innovation team and strengthen our recently launched AI Center of Excellence by acting across Analytics projects in Upstream (all countries, all BUs):

• Design and develop AI/ML-driven business solutions and drive their implementation 

• Participate in programs and projects to implement complex Advanced Analytics Models for Upstream during all phases of the projects with relevant and responsibilities and tasks

 

Responsibilities:

  • Close collaboration with Stanford and other Universities and external research collaborations to accelerate our transition towards supporting a circular economy by developing innovative products and New Energy solutions with Data Science and AI;
  • Proactively drives the e2e-implementation of AI / Advanced Analytics-related projects, tools, or systems;
  • Develops, implements, enhances, and maintains end-user centric Machine Learning solutions to ensure efficiency increase along our value chain;
  • Together with our AI CoE team, further develops our stochastic modeling workflows, predictive and smart maintenance solutions, and computer vision applications based on next-generation Generative Adversarial Networks;
  • Responsible of provisioning ML-driven apps based on exploited usage of MS Azure no/low code (drag & drop) / AutoML / Cognitive Services;
  • In charge of monitoring AI and innovation-related technologies and trends exploiting further opportunities and fields of innovation in the energy sector;
  • Designs feasible and sustainable AI and Advanced Analytics pipelines in accordance with business requirements embedded in the prevalent IT landscape;
  • Cleans, analyses, and visualizes data and trains, tests and optimizes machine learning models to make predictions and to answer key business questions in a clear manner;
  • Responsible for choosing best-fit Machine Learning algorithms with regard to the prevalent problem statement accounting for availability of data or technical or other restrictions;
  • Advises in the optimization and automatization of data gathering, workflow and validation processes.

Requirements:

  • Master Diploma: Data Science, Mathematics, Physics, Computer Science, Mechanical Engineering, Energy or a similar field of study (Technical studies preferred);
  • Relevant professional experience: more than 9 years in Data Science & Analytics;
  • Minimum 5 years proven track record in building AI and Advanced Analytics solutions in international projects;
  • Strong advantage: Minimum 2 years experience in Energy sector/New Energy solutions;
  • Excellent knowledge of Data Science-related Software such as: Python, R, Scala, Matlab;
  • Excellent understanding of big data technologies such as: Hadoop, Apache Spark, Hive;
  • Excellent skills in Azure Machine Learning, Synapse. Azure Databricks is an advantage;
  • Distinct analytical skills for structuring unrelated contents to efficient and practicable AI solutions;
  • Experience in end to end model development lifecycle, from ideation through post production monitoring;
  • Hands on experience in SQL;
  • Deep knowledge about Advanced Analytics and basic knowledge about data storage;
  • Excellent understanding of statistics, mathematics, programming;
  • Being fluent in English.