Beschreibung
TEX_19208 - Data Scientist/Engineer (f/m)Einsendeschluß: 25.01.2019
Anzahl d. Personen: 1
Branche: Energy
Einsatzort: Niedersachsen
Zeitraum: 01.03.2019 - 31.04.2019
Anmerkungen:
Auslastung: 480h
Profilvorgabe:
Preisvorgabe: EUR/Std.
Projektbeschreibung/Aufgaben/Rolle:
Tasks:
- Process various sets of structured/unstructured data from internal and external sources in a variety of formats.
- Program significant metrics and indicators with advanced analytical functions and machine learning in Python, Spark (PySpark), and Scala.
- Solve classification, clustering, regression and prediction problems with state-of-the-art machine learning methods.
- Handle imbalanced data sets and derive conclusions about data and model predictions from your expertise in statistics and machine learning estimators.
- Implement data preparation methods including cleaning, pre-processing and verification of data integrity.
- Derive meaningful features from prepared data and interpret their usefulness together with different machine learning models.
- Develop new advanced algorithms for time series predictions, survival analysis, condition monitoring, state change detection, and asset optimization.
- Perform explorative and ad-hoc data analysis, visualize results in an appealing manner and present the findings in clear statements to business partners.
BITTE VOR ORT UND REMOTE SUNDENSATZ ANGEBEN:
***AUSLASTUNG: 384h vor Ort, max. €/h // 96h remote, max. €/h***
Skills/Hinweise:
- Ph.D. or master degree in Computer Science, Mathematics, or related technical discipline.
- Minimum 2 years working experience as a data scientist.
- Extensive knowledge in statistics, machine learning (both theory and application, especially decision-trees, ensemble methods), time series and survival analysis, and data mining.
- Expertise in at least one Python machine learning library, e.g. scikit-learn, h2o etc.
- Track record of implementing advanced data analytics in Hadoop using Spark, Python, HDFS, Hive, and HBase. Scala knowledge is a plus.
- Experience with databases (e.g. SQL) is useful.
Soft Skills:
- Good team player, but great at independent work
- Solution oriented
- Analytical thinking
- Fluent in English. German considered as a plus
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