Lviv, UA 

Full-time on site/hybrid (Lviv) or remote (countrywide employment) 

Are you passionate about data science, having proven experience in designing, building and maintaining analytical solutions (advanced analitical models, applications, project introducing new ways of working) across the organization to drive business insight and data-driven decision making? Nestlé Business Services Lviv team is looking for those who are ready to take on the challenge and become a part of our loyal & dynamic team. In this position, you will be able to apply your skills and knowledge in the international environment, cooperate with Nestlé colleagues across the globe and grow your career within the biggest company in the FMCG industry. We're proud to be an active equal opportunity employer to enhance diversity & inclusion in our company. 

You are:  

• An expert in data science with Master’s degree in Statistics, Econometrics, Mathematics, Computer Science, Big Data or similar studies, typically having 2+ years of experience in Junior Data Science positions;  

 • Demonstrating ability to identify relevant patterns and trends in data; 

 • Demonstrating experience creating tailor-made visualisations using principles of effective visual design with ability to visually communicate basic insights & recommendations to audiences; 

 • Demonstrating application of basic software engineering principles and experience working with cloud-based infrastructure; 

• Strong understending and ability to use machine learning and statistical modeling techniques including deep knowledge of statistics & math behind common algorithms; 

• Advanced user of Excel & Power BI.  Solid command of Python/R and SQL, allowing for their independent use; 

• Confident in English on advanced level (both written and verbal) with proven experience of effective communication at different levels in the organization, beneficially working in a global environment and with virtual teams 

With you we will: 

 • Explore and experiment with innovative analytical techniques to maximize value of the solutions provided; 

• 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; 

• Communicate model & analysis results to a non-technical audience that includes stakeholders and senior management, and win their buy-in; 

What's in it for you: 

• Remuneration package: annual salary review & bonus, 28 days of paid vacation, paid sick leaves, medical insurance, lunch allowance, IT Club discount program;  

• Official employment;  

• Personal & Professional development opportunities; 

• International environment and diverse team;  

• Relocation package or possibility of distance work. 

How we will proceed:   

You send us your CV - We contact relevant applicants - Interview with a Recruiter - Interview with Hiring Team - Job Offer communication to the Finalist - First working day   

Sounds exciting? Submit your CV today!