Products Analytics Practitioner (Data & AI)

WE EXPECT THAT YOU: 

• Have minimum Bachelor's degree in discipline like Informatics, Physics, Mathematics, Quantitative Methods and are continuously looking forward to using your knowledge to solve complex business problems.   

• Have practical experience within industry or consulting in applying data-driven approaches to a variety of business scenarios, including creation and use of advanced analytics / Machine Learning algorithms.   

• Have  experience within industry or consulting with an international exposure in Consumer Goods and Services or Retail. 

• Have knowledge and experience on one or more of below topics: 

• Supply Chain Management – demand forecasting & replenishment, warehouse and delivery planning/optimization, route optimization, wastage analysis etc. 

• Category Management – market basket analysis, promotion analysis and optimization, pricing and price elasticity, assortment optimization, contracts optimization etc. 

• Marketing – marketing mix modeling, customer segmentation, sentiment analysis, churn prediction, content and offer personalization, A/B testing, customer audience targeting models, omnichannel analytics etc. 

• Sales – sales forecasting, sales analytics, sell-in, sell-out, recommender systems, customer lifetime value prediction, shelf optimization etc. 

• Other interesting data science projects from Consumer Goods and Services or Retail area 

• Are proficient in at least one of programming and query languages like Python, PySpark, SQL.   

• Understand various Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization, NLP, LLM. Experience with frameworks like XGBoost, lgbm, SMOTE, Prophet, Hyperopt, Keras or Open AI API would be an asset.   

• Have an unstoppable thirst for knowledge and are comfortable with ongoing skills development whether it comes to learning completely new technology or mastering relevant ML algorithm.  Interest in cutting edge topics like Generative AI, Quantum Computing or Responsible AI will be more than welcome. 

• Have experience or interest in delivering analytical projects with top Cloud platforms such as GCP (Vertex AI), Azure (Machine Learning, Functions, Data Factory), AWS (Sagemaker, Athena). Experience with Databricks will be an asset.   

• You understand Data Engineering and ML model lifecycle importance in Data Science solutions process development.  

• Have a very good command of English language (it is nice to have command of additional language, for instance, German).   

• Are a great team player (it is nice to have experience in working in international teams).   

• Understand importance of effective communication with Clients, have experience in working in Agile methodology.