Data Scientist

Job Description

Concrete tasks will include:

• Design and develop analytical approaches based on product concepts, going all the way from feasibility checks to proof-of-concepts to prototypes to implementation in end-to-end solutions
• Closely collaborate with machine learning engineers/ software engineers on creating data-driven end-to-end solutions for marketers
• Actively share Data Science knowledge in Technology and Data network

We look for a profile with complementary skills, such as:

MUST HAVE:

• Expert knowledge of Python programming, including pySpark
• Strong statistical modeling skills / knowledge on predictive analytics would be a plus
• Expert knowledge of optimization and / or machine learning algorithms and / or deep learning algorithms
• Solid skills with regard to working in Big Data environments (e.g., Cloudera Hadoop, Hortonworks Data Platform, AWS EMR, Map/Reduce, Hive)

NICE TO HAVE:

• Advanced knowledge of the constantly evolving Data Science ecosystem and its frameworks (e.g., Hadoop, Spark MLlib, H2O, Tensorflow, Torch, Theano).
• Basic skills with regard to performance optimization and scalability (e.g. Parallelization, code optimization, containerization, function as a service).
• Experience in working with relational and non-relational databases, including SQL.

ASPIRED EDUCATIONAL BACKGROUND / PROFESSIONAL EXPERIENCE:

• Master degree that reflects strong modeling, statistics and IT skills, PhD welcome but not required.
• 2+ years of professional experience in quantitative data analysis/ data science or related areas.