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

Data Scientist

Your 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

Our requirements

• 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, PySpark & 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