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Data Scientist

Location: 

Budapest, BU, HU

Company:  ExxonMobil

ExxonMobil is one of the world’s leading energy companies with more than a 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. 

 

Data Scientist

 

Data Analytics and Systems team in Budapest is working as part of ExxonMobil’s global organization and accelerate high-value, actionable insights through the delivery of state-of-the-art, scalable, enterprise data platforms, data science and analytics solutions for our global internal ExxonMobil customers.

We are looking for Data Scientists in our growing Data Analytics and Systems team to help the business get actionable insights from their data to maintain competitive advantage. This job role focuses on turning data into information that can be used for decision making through a variety of techniques and technologies, and to identify step change improvements in master and foundational data for enhanced and predictive analytics.

Responsibilities

  • 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 modeling 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

Skills and Qualifications

  • MSC or PHD 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) is an advantage

We 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

 

Corporate Separateness Notice

Nothing in this material is intended to override the corporate separateness of local entities. Exxon Mobil Corporation has numerous affiliates, many with names that include, but are not limited to, ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity in this Site, those terms and terms like corporation, company, our, we and it’s are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships

 


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