Data Science Analyst

Function: Data Scientist Analyst

Reports to: Data & Analytics

Scope: Ice Cream

Location: CDMX, México.

Terms & Conditions: Full time position. Currently live in Mexico City or have immediate mobility to be transferred. Have a low/medium level of English.

ABOUT UNILEVER

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. You will work on brands that are loved and improve the lives of our consumers and the communities around us. You will lead innovations, big and small, that will make our business win and grow. You will learn from brilliant business leaders and colleagues who provide mentorship and inspiration so that you can become a better you.

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. If you are an expert in Data Science projects and GIS then this role is just for you! WHAT WILL YOUR

MAIN RESPONSIBILITIES BE

Data & Analytics team purpose is to Revolutionize business decisions through AI, and Data Scientist Analyst will be responsible for Models Creation, Analysis and Geographical Information System requirements in alignment with Unilever best practices and standards. In this role, you will be responsible for designing, developing, and implement robust and scalable data scientist solutions. Also, the role will collaborate with cross-functional teams to understand data science requirements and ensure the delivery of efficient solutions that drive data-driven analysis and decisionmaking throughout Unilever Ice Cream.

WHAT YOU WILL NEED TO SUCCEED

• Bachelor degree in Statistics, Mathematics, Actuarial, Computer Science or related fields.

• Experience in Data Science, Analytics and Visualization fields. Projects in Data integration,Data Analysis, Data Science projects as modeling, clustering or forecasting and Maps Creation.

• Experience showcasing analytical results. Certification through Trainings and Courses related with Data Science and AI.

Experiences & Qualifications

• Work with teams across the company and externally to build and/or deliver a variety of models to support critical business decisions.

• Create models within Geoespacial visualization solution, to guarantee business decisions in an acertive and timeless manner.

• Provide analytical methodologies to understand and address key business questions and problem statements

• Work together with business teams across the organization to identify and design solutions through an analytical lens.

• Promote a data-driven culture with team activities to expand understanding and utilization of data science

• Establish code repositories/libraries to build a data science foundation that can be used for the modular design of solutions

• Communicate analytics model results to key non-technical stakeholders in a nuanced and articulate manner to get their buy-in and sponsorship

• Create end to end data science solutions from data modeling, model refinement, UAT until Prod.

• Articulate the value of data science concepts/solutions to business stakeholders.

• Promote a data-driven culture with team activities such as trainings, emails to expand understanding and utilization of dashboard visualizations or analytical solutions.

• Impulse the business to drive action based on the analysis created.

• Work with teams across the company to build and/or deliver a variety of analytical solutions to support critical business decisions.

• Work together with business teams across the organization to identify and design solutions through an analytical lens.

• Provide analytical methodologies to understand and address key business questions and problem statements.

• Implement new data and analytic products and identify enhancements in current solutions.

Skills

• Azure

• AI and ML

• Python

Leadership

Personal Mastery, Agility, Passion for High-Performance

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.