Full Stack / Lead Data Scientist Forecasting & Marketing Solutions (m/f/d)

Bionorica, with about 2200 employees worldwide, is the German market leader for apothetic plant medicinal products. For over 90 years, we have been deciphering the secrets of nature by combining the findings of traditional medicinal plant therapy with the future-oriented results of natural science research. ''Phytoneering'' is the formula of our success, with which we have been on growth for years. Thus, we are opening up new markets with inno­vative, highly effective herbal medicines. For our location in Neumarkt (Oberpfalz) we are looking for one:

Forecasting & Marketing Solutions

Support and further development of our AI-Forecast-Applikation for sales forecast structuring, retrieval and identification of the underlying database Monthly generation, evaluation and response of the AI prognoses Coordination of development projects on market pro­grammes and start­ups Support in building and maintaining the new self-service marketing mix modeling tool (MMM) Self-implementation of data extraction, analysis and visualization and front-end development Close cooperation with experts and stakeholders to prioritise and implement data-driven solutions for complex planning, sales and marketing challenges Coordination of project implementation by participants and service providers

Completed studies in data science, infor­mation, statistics or infor­mation Very good knowledge of R (incl. Shiny, plumber) and/or Python (TensorFlow) and SQL Experience with ETL processes, data integration, cloud services (Azure) and BI tools (Power BI) Knowledge of time series analysis (Prophet, ARIMA) and inte­grated business planning as well as modern machine learning approaches (KNN TensorFlow, in particular inter alia recurrent networks, LSTM networks, autoencoder, feed forward networks) Efforts to improve the quality of the product App development (Shiny) and UI/UX design as well as deployment (CI/CD, Moni-toring, IT security) Analytical skills, struc­tured working methods, communication strength and team­ability Project management experience and agile mode of work (Scrum / Kanban)

A globally active, owner-managed family business with commitment to social responsibility Flexible working time models to support the reconciliation of work and private life Responsible areas of activity, including qualified staff and a performance-based remuneration with attractive social benefits and occupational pensions Exciting perspectives in a globally growing company with diverse professional and personal development possibilities