Data Scientist (m/f/d)

As a Data Scientist, you will have the exciting opportunity to work on a variety of projects ranging from decision support tools for internal process optimisation to state of the art data science algorithms integrated into our customer facing applications.

Tasks and Responsibilities:

• Interface with stakeholders to understand and solve their data needs, to brainstorm and co-create new data products with them, and to help them make data-driven decisions.

• Create, evaluate, & improve data products including smart/optimization/personalisation algorithms, recommender systems, forecasting and predictive models.

• Develop these analytics, models, and algorithms from the initial idea to the implementation deployed in production, with a mind toward the final consumer/stakeholder, accuracy, scalability, and an iterative approach.

• Care for the standards and quality of your analyses, code, and implementation.

• Support your teammates by participating in data science brainstorming discussions, reviewing their code and results, and working collaboratively especially during the POC/R&D phase.

​Knowledge & Strengths

• Minimum 3 years experience as a Data Scientist, in a customer-centric company, preferably e-commerce, transactional marketplace, or e-health. 

• Degree in Computer Science, Data Science, Engineering, Statistics or similar. 

Experience creating, evaluating, & improving Data Products using: 

• Advanced Python: Libraries including pandas, scipy, scikit-learn, gensim, etc.

• High SQL knowledge: Snowflake, Redshift, or other data warehouse 

• Domain knowledge: Marketing, business, finance, logistics, etc. 

• Background skills: Machine Learning, data analysis/visualization/pre-processing, statistics, a/b testing, quantitative and qualitative analysis, etc. 

• Past Data Engineering and/or Data Analysis experience (full-stack mindset) is a big plus. 

Other Skills: 

• Version control GIT 

• Languages: English (proficiency) 

• Experience in Agile methodologies 

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