R&D - Coordenador(a) De Gestão Da Informação - HC
Fabrica Valinhos, Brazil
Unilever
At Unilever we meet everyday needs for nutrition, hygiene and personal care with brands that help people feel good, look good and get more out of life.ABOUT UNILEVER
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.
At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.
JOB PURPOSE
Unilever is the place where you can bring your purpose to life with the work that you do – creating a better business and a better world.
WHAT WILL YOUR MAIN RESPONSIBILITIES BE
Constantly understand the main needs of R&D Latam team and how to address them with digital tools;
Identify manual process and create the automation solution;
Master knowledge of global tools;
Cascade global tools to the team and ensure Latam team usage;
Guide and train R&D team members in at least in Excel, JMP and Design of Experiments;
Master user of process, formulation and financial data;
Use data/tool to help the team to understand the process and formula correlations and solve problems;
Maintenance and guidance of Latam Formula Cost (LFC);
Develop Machine Learning and Computer Vision models aiming trials reduction;
Conduct proof of principles for new technologies;
Have technical skills to understand, propose, and apply digital solutions;
Have transparence about the available tools in Unilever and application;
Ensure right usage of IA solutions;
Critical sense to ensure good data quality;
Work collaboratively with team members/interfaces;
Ensure security for data storage;
Ensure compliance with the Unilever Code of Business Principles;
Training (online or presential) the team on new digital tools;
Guarantee R&D information in the right systems and back up.
Experiences & Qualifications
Bachelor's degree completed in Chemical or Food Engineering, Computer Science, Statistics or related areas;
Knowledge of Python for Data Science, Computer Vision, Machine Learning, Web Scraping, Power Platform;
Excel VBA;
SAS JMP Advanced;
Advanced English;
Basic Spanish.
Skills
Negotiation;
Solution driven mindset;
Hands-on mentality;
Communication;
Attention to details.
Leadership
You are energized by delivering fantastic results.
You are an example to others – both your results and your resilience.
You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way.
As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need.
You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better.
Unilever embraces diversity and encourages applicates from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Computer Vision Data quality Engineering Excel Machine Learning Python R R&D SAS Security Statistics
Perks/benefits: Career development Flex hours
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