Informacje o stanowisku

Technologies-expected : Python SQL Py Spark Azure Cloud Databricks about-project : Collaborate with fellow Data Scientists, Analysts and Engineers to drive innovation and develop top-notch analytical models and methods Support and impact critical business decisions in areas of supply chain and marketing responsibilities : Actively participate in each stage of the data science lifecycle, from business understanding through model development to industrialization Design, build and maintain statistical/machine learning models to optimize business operations Explore and experiment with innovative ML techniques and approaches to maximize value generated by the team Be a thought leader in development of methodology within big scale transformational projects Communicate model & analysis results to a non-technical audience that includes stakeholders and senior management, and win their buy-in Coach and mentor other team members on multiple aspects of a data scientist role requirements-expected : 2+ years of professional experience building and industrializing machine learning solutions Very good command of Python and its use with version control (git) and testing Practical knowledge of SQL, Py Spark & Databricks Experience in application of ML concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization etc.) Solid knowledge of ML techniques and algorithms (incl. various regression types, ensembles, clustering, decision trees, boosting, etc.) and their pros and cons Ability to reframe business challenges into data science problems and adjust ML methods & tools accordingly Good communication and presentation skills, in particular facilitation of grasping complex topics by broad audiences, incl. non-technical stakeholders Track record of effective collaboration with IT / data engineering teams in development and production phase

Warszawa - Oferty pracy w okolicznych lokalizacjach