Data Scientist in Data Science HUB Team

Key Skills

Data science techniques, Databricks, Effective communication skills, Git, Machine learning techniques, PowerBI, Presentation skills, PySpark, Python Programming, R Programming, SQL, Statistical modeling

Job Description

Data Scientist in Data Science HUB Team

Data Scientist (m/f/d)

As the Data Science Hub Europe in Nestle, we continuously search for new talents to join our international team dedicated to delivering efficient and high-quality data solutions. In your role of a Data Scientist, you will collaborate with fellow Data Scientists , Analysts and Engineers to drive innovation and develop top-notch analytical models and methods. Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.

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
• Proficiency in at least one language employed in ML & statistical analysis (Python or R preferred) and its use with version control (git) and testing
• Practical knowledge of SQL
• 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

You will draw even more of our attention if you have:

• Databricks & PySpark expertise
• Broad familiarity with visualization tools (Power BI, R Shiny, etc.) and solutions based on them
• Experience in leading cross-functional and/or international projects
•  Interest in codifying and disseminating knowledge & best practices, incl. documentation of projects

In return we offer:

• Exciting work in a multi-cultural team of bright minds – data lovers and practitioners
• Flexible remote work options, or – if your prefer – access to a modern office in Warsaw’s Mokotów, walking distance from Metro Wilanowska
• Internal training programs and access to external knowledge resources aimed at expanding your skills and competence
• Support in building your ML skills and portfolio through participation and presenting at conferences and events
• Opportunities to develop further in our Data Science Hub as well as in the international organization
• Option of full-time contract
• All kinds of juicy fringe benefits: private medical care, pension fund, cafeteria program, Multisport card, co-financing of meals in the company's canteen, discounts for Nestle products