Beschreibung
Unser Unternehmen ist ein strategisches Beratungsunternehmen mit Fokus auf den Energie- und Versorgungssektor, dessen Dienstleistungsschwerpunkt auf die Bereiche Business Intelligence- Lösungen, Compliance- & Investitionssicherheit sowie Prozess- und Projektmanagement gerichtet ist. Für unser Kunden-Projekt suchen wir ab sofort eine/nData Scientist (m/w) Hadoop (HDFS, Hive and Hbase), Tableau
Start-Datum: 01. Dezember 2015
Ende-Datum: 30. Juni 2016
Verfügbarkeit: 100%
Anzahl Personen: 1
Anzahl Leistungsstunden zu 100% Onsite: 880 Stunden
Sprachanforderung: deutsch, englisch
Arbeitsorte: Essen, Hannover, München
Aufgaben:
Process huge set of unstructured data like text documents and pictures from different kind of sources in combination with time series from SCADA systems
into actionable intelligence
Consult the business in defining and later on design data models on Hadoop HDFS, Hive and Hbase.
Implement batch and stream data ingesting methods including cleaning and pre-processing.
Teach and support the business in the usage of the used architecture (Hadoop, Spark, etc.)
and help with set up of use and operation of a similar productive environment
Program significant metrics and indicators with advanced analytical functions and machine learning in Spark, Spark streaming, R and Python.
Develop new advanced algorithms in the renewables area, which will support predictive maintenance,
power forecasting, picture analysis in the area of new-build and operations, opitimization
Visualization of results, preferred in Tableau
Fach-Skills:
Ph.D. or master degree in Computer Science, Mathematics, or related technical discipline.
Minimum 5 years working experience as a data scientist.
Minimum 2 years track record of programming in Hadoop using HDFS, Hive and Hbase.
Minimum 1 year experience in programming real-time stream analytics and complex event processing with Spark Streaming.
Kafka and Storm would be good in addition
Extensive knowledge and experiences in statistics, machine learning and data mining.
Track record of coding in Spark, R, Python, Java and SQL.
Experience in MapReduce/Hadoop, unstructured big data analytics, especially picture analytics.
Track record of new designed data analytical functions published in papers or patents.
Business knowledge in the renewables sector, trading experiences and engineering skills
(fast adapting of technical/business processes & process understanding) would be appreciated
Soft-Skills:
Enjoying collaborating internationally and across cultural borders,
willing to undertake international business travel,
team player and willingness to share knowledge is a key-requirement.
Bewerbung und Kontakt:
Sollten wir Ihr Interesse geweckt haben, dann freuen wir uns auf die Übersendung Ihres aussagekräftigen Profils unter der Angabe Ihres Stundensatzes und Verfügbarkeit.
Herzlichen Dank im Voraus und mit besten Grüßen