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Hybrid Data Scientist (m/f/d) Data Scientist (m/f/d)

DocMorris  ·  nan, · Hybrid

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About the job

The Swiss-based DocMorris AG is a leading company in the fields of online pharmacy, marketplace and professional healthcare with strong brands in Germany and other European countries. With its business model, DocMorris offers its patients, customers and partners a broad range of products and services. In doing so, DocMorris is pursuing its vision of creating a digital health ecosystem for everyone to manage their health in one click.In Spain and France, the company operates the leading marketplace for health and personal care products in Southern Europe. With an innovative business model, our marketplace does not manage stock or warehouses, it integrates the catalog of products, pricing, and stock levels of the most important and trusted off-line pharmacies in a single website, achieving 24h delivery service for more than 200.000 products and 10.000 brands from more than 1.000 pharmacies and health stores. Our business model and service have received several awards like the prize for Best Webshop in Spain as well as the Best Mobile App from the E-Commerce Awards.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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