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Detalii loc de munca - România

Descrierea jobului - România

We are looking for Data Analysts and Scientists! Data Scientist, the sexiest job of 21st century, requires a mixture of multi disciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. The activities are run within a team and you will work closely together with data analysts and data scientists, to design and develop Smart Factory solutions, considering: advance data analysis with defined data mining methods and algorithms; business processes, goals and strategy (business understanding); visualization of data and analytics results; complex data environments analysis, comprising of multiple data sources and formats; insights to generate actionable recommendations; technical details of work documentation; raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.) gathering and processing; wrangling of heterogeneous data sets, explore and discover new insights; collaboration with Data Analysts, Data Scientists, IT-Departments and management in poject teams; close collaboration with colleagues in plants around the world. Building and maintaining a network of experts within the company and with external partners; continuous monitoring and evaluation of new solutions on the market for their usability and usefullness in our use cases. Math & Statistics Machine learning; Statistical modeling; Experiment design; Bayesian inference; Decision trees, random forests, logistic regression. Programming & Database Statistical computing package e.g. R, Knime; Computer science fundamentals; Scripting language e.g. Python; Databases SQL and NoSQL; Relational algebra; Parallel databases and parallel query processing; MapReduce concepts; Hadoop and Hive/Pig; Custom reduce; Experience with xaaS like AWS. Domain knowledge & Soft Skills Passionate about the business; Curious about data; Influence without authority; Problem solver; Strategic, proactive, creative, innovative and collaborative. Communication & Visualization Translate data-driven insights into decisions and actions; Visual art design; R packages like ggplot or lattice; Knowledge of any of visualization tools e.g. Flare, D3.js, Tableau. ... What we offer Pay for Performance Programs; Relocation Package; Flexible Working Time; Personalized Development & Training Programs; System for Rewarding Improvement Ideas; Kindergarten on Site for Continental Employees' Children Only; Health Management Programs & Medical Room on Site; Health Insurance Services & Travel Insurance Policy; Restaurant Concept & Coffee Corner on Site; Other benefits to enjoy after-work and community projects; Mobile Work; Sabbatical Leave Program.


Bachelor/ Master (preferred) in Computer Science, Mathematics, Statistics or equivalent; Applied skills in using Big Data technologies (Hadoop, No SQL, logstash, Splunk, HBase, Spark, Hadoop, tableau, Knime, MicroStrategy); Skills in using of statistics and data mining software packages is a bonus (IBM SPSS, SAS, RapidMiner, Knime); 1-3 year experience in IT Jobs (software developemtn, database administration, data warehousing or similar); Expertise with programming/ scripting languages such as Java, Python, R, Scala, Perl, SQL; Initiative and creativity, persuasion and assertiveness; Basic knowledge of Artificial Intelligence -methods and tools; Advanced English – written and oral communication skills; German and other language skills are of advantage; Ability to develop scenario analysis using different approaches; Critical and proactive thinker with capacity to quickly learn programming languages will be strongly considered; Design and development experience working with large scale data warehouse, data mining and analytics platforms is a plus; Data modeling, data ingestion approaches for structured, semi-structured and unstructured datasets; Excellent problem-solving and analytical skills; Ability to change direction quickly based on data analysis; Willingness and readyness to manage projects in project teams around the world. ..

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