Data Scientist (m/w/d)

Ihre Tätigkeiten:

• Collaborate and communicate with others to build and improve end to end solutions using advanced data science and machine learning techniques
• Build and operate data pipelines leveraging data from various sources to improve machine learning workflows
• Define metrics to validate model performance and connect them to business KPIs
• Own the entire data science process from development of supervised and unsupervised models to production deployment and monitoring
• Structure your machine learning projects and break them down into work items of manageable size to provide transparency on your progress
• Research and realize opportunities to apply machine learning technologies that provide business value and support the growth of our costumer

Das gesuchte Profil:

• Bachelors/Masters Degree in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or Computer Science)
• 2+ years of experience with Python, including scikit-learn, numpy, and pandas.
• 2+ years of working with SQL and relational databases (e.g., PostgreSQL, MySQL, MS SQL Server, etc.)
• Experience with working on one or more of the following topics: Multiclass Classification, Time Series Prediction, Recommender Engines, Clustering Analysis

• Desired Skills / Competencies (nice to haves):

• At least 1 year of experience with deep learning models for text or image data (e.g., CNN, RNN, LSTM, etc.) using one of the frameworks - Keras, Tensorflow, Pytorch.
• Experience in establishing, running and evaluating AB-tests for different practical use cases
• Hands-on experience with MPP databases (e.g., Snowflake, Redshift, BigQuery, Vertica, etc.)
• Experience with working on cloud platforms (preferably, AWS) and its machine learning stack (Sagemaker)
• Several years of relevant experience in building large scale machine learning or deep learning models and/or systems in a production environment

Bitte beachten Sie die folgenden Anforderungen:

• Selbstständiges Arbeiten
• Teamfähigkeit
• Zuverlässigkeit
• Motivation/Leistungsbereitschaft

Sprachanforderungen:

• Englisch: Erweiterte Kenntnisse