Full Stack Data Scientist - Unterföhring (109198)

Unterföhring  ‐ Vor Ort
Dieses Projekt ist archiviert und leider nicht (mehr) aktiv.
Sie finden vakante Projekte hier in unserer Projektbörse.

Beschreibung

Aufgabe:

We are looking for full stack Data Scientists:

* Candidates who can do data wrangling, model training, and implement trained models into production environment.

* Selecting features, building and optimizing classifiers using machine learning techniques

* Data mining using state-of-the-art methods

* Extending companys data with third party sources of information when needed

* Enhancing data collection procedures to include information that is relevant for building analytic systems

* Processing, cleansing, and verifying the integrity of data used for analysis

* Doing ad-hoc analysis and presenting results in a clear manner

* Creating automated anomaly detection systems and constant tracking of its performance


Anforderung:

Must have:


* Excellent understanding of machine learning techniques and algorithms, such as decision tree learning, clustering, neural networks, etc.

* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

* Proficiency in using query languages such as SQL, Hive AND computing language Python

* Experience: 4+ years.


Nice to have:


* Good scripting and programming skills and building regular expressions

* Experience using AWS web services: Redshift, S3, Sagemaker, Lambda, Athena, Spark, etc.

* Experience analyzing data from Google Analytics, Cookies, Clickstreams

* Experience as a mentor for junior candidates

Beginn: 01.06.2019, spätestens 15.06.2019
Dauer: 31.08.2019 + opt. Verlängerung
Branche: Medien
Start
01.06.2019, spätestens 15.06.2019
Dauer
31.08.2019 + opt. Verlängerung
(Verlängerung möglich)
Von
Allgeier Experts Consulting GmbH
Eingestellt
21.05.2019
Ansprechpartner:
Tobias Trockel
Projekt-ID:
1773747
Vertragsart
Freiberuflich
Um sich auf dieses Projekt zu bewerben müssen Sie sich einloggen.
Registrieren