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Senior Data Scientist

Senior Data Scientist

    

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:

• Be a key contributor and idea nurturer at 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

• Lead exploration and experimentation 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:

• 4+ years of professional experience building and industrializing machine learning solutions

• Proficiency in Python and its use with version control (git) and testing

• Solid knowledge of SQL, PySpark and Databricks

• Broad experience in application of ML concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization etc.)

• Expertise in time series / ML techniques and algorithms and their pros and cons

• Ability to reframe business challenges into data science problems and adjust ML methods & tools accordingly

• Excellent 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:

• 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

• Knowledge of other languages used in data science (R, Julia, etc) and their pros and cons

 

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 …

    

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:

• Be a key contributor and idea nurturer at 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

• Lead exploration and experimentation 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:

• 4+ years of professional experience building and industrializing machine learning solutions

• Proficiency in Python and its use with version control (git) and testing

• Solid knowledge of SQL, PySpark and Databricks

• Broad experience in application of ML concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization etc.)

• Expertise in time series / ML techniques and algorithms and their pros and cons

• Ability to reframe business challenges into data science problems and adjust ML methods & tools accordingly

• Excellent 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:

• 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

• Knowledge of other languages used in data science (R, Julia, etc) and their pros and cons

 

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 …

Warszawa, PL

Warszawa, PL

Apply now »