Data Scientist

In this role you will:

• 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

You are the right candidate if you bring along:

• 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