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Data Scientist for Pricing (m/w/d)
Neckarsulm, Berlin
Aktualität: 16.09.2021


16.09.2021, Lidl Digital
Neckarsulm, Berlin
Data Scientist for Pricing (m/w/d)
As a Data Scientist (m/w/d) at Lidl Digital, you develop innovative and data-driven solutions which create tangible value for customers, suppliers and co-workers In your work in the Pricing Intelligence product, you develop algorithms and models for our price recommendations and as well as for our price elasticity models You build highly scalable machine learning solutions together with an experienced data science team and deploy them to production You analyze pricing initiatives and evaluate them in terms of observable and quantifiable effects, assess the models' goodness and steadily set the bar higher for model quality You support pricing teams with data analyses and forecasts on pricing optimizations and discuss possible implications derived from your analyses You are responsible for applying technical knowledge in data science, but you are also a consultant for management at Lidl Digital You put yourself in the shoes of your stakeholders: you understand their objectives and requirements and can translate these into solutions that spark excitement You work in an agile and interdisciplinary team (m/w/d) of data scientists, engineers, developers & business experts to support our mission to bring big data analytics in our organisation to a new level
Graduate degree in statistics, mathematics, informatics, engineering, quantitative economics or a related field At least three years of project experience in analytics, data science or consulting Knowledge of two or more of the following fields: statistics, machine learning, data visualisation, simulation or optimisation Proficiency in Python as well as SQL knowledge is required You are capable of quickly understanding business processes and challenges and know how to translate these into technical models You present results targeted to your audience and have first experience in communicating with higher management Experience in running a data analytics infrastructure in a cloud computing environment (preferably MS Azure) is an advantage Experience in Pricing is an advantage Experience in E-Commerce is an advantage Knowledge in Databricks/PySpark is an advantage Fluency in English is required, German language skills are an advantage