data scientist | -

megjelenés dátuma
randstad hungary
állás típusa
határozatlan idejű

az állás részletei

megjelenés dátuma
IT / Telekom
állás típusa
határozatlan idejű
3264 / 3020
randstad hungary
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Cégleírás / Organisation/Department

Our client is one of the world’s leading energy companies with more than 100,000 employees and contractors located in over 50 countries around the world. Our large, in-house IT organization consists of 6,000 professionals supporting an array of business lines, plants, refineries, manufacturing sites, internal and external business partners.

Pozíció leírása / Job description


- Mining and analyzing data from various data sources to identify new opportunities that enable new business
- Developing custom data models and algorithms over datasets to overarch various business processes
- Apply predictive data modelling to maximize the business value of data as an asset
- Interact with and coordinate various functional teams to test, analyze and improve model performance and accuracy of predictions
- Assess the accuracy of new data sources and data collecting processes

Elvárások / Requirements

- MSC or Ph.D. in Statistics, Mathematics, Computer Science or similar quantitative domain
- Minimum 5 years of experience in data transformation, data modeling, and visualization
- Experience in a variety of machine learning techniques such as decision trees, neural networks, text mining, and clustering
- Knowledge of querying databases and using statistical programming languages (SQL, Python, R)
- Familiar with data architecture, statistical and mining concepts
- Strong problem solving and excellent communications skills and ability to work in a global team
- Willingness for continuous development and learning new technologies


- Experience in distributed data computing (Hadoop, Spark, MySQL), NoSQL and version control systems (TFS, Git)

Amit kínálunk / Offer

- Learn and apply state-of-the-art Data Analytics technologies, work with and influence global vendors like SAP and Microsoft
- Strong professional development in the Data Analytics domain and other IT areas such as relational databases, applications and ERP systems (SAP and non-SAP), network and security
- Numerous internal and external training opportunities, support in achieving additional degrees, industry-wide recognized certificates, learning new languages
- Performance driven competitive compensation and benefit package
- Healthy work-life balance, flexible working conditions, working from home
- Floating holidays, pension and private health fund, and many more

Kapcsolattartó / Information

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