Job requisition id r-98627
function: data scientist analyst
reports to: data & analytics
scope: ice cream
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
if you are an expert in data science projects and gis then this role is just for you!
main responsibilities
1. data & analytics team purpose is to revolutionize business decisions through ai; the data scientist analyst will be responsible for models creation, analysis, and geographical information system requirements in alignment with unilever best practices and standards.
2. design, develop, and implement robust and scalable data science solutions.
3. collaborate with cross-functional teams to understand data science requirements and ensure the delivery of efficient solutions that drive data-driven analysis and decision-making throughout unilever ice cream.
what you will need to succeed
1. bachelor's degree in statistics, mathematics, actuarial, computer science, or related fields.
2. experience in data science, analytics, and visualization fields, including projects in data integration, data analysis, modeling, clustering, forecasting, and maps creation.
3. experience showcasing analytical results. Certification through trainings and courses related to data science and ai.
experiences & qualifications
1. work with teams across the company and externally to build and/or deliver a variety of models to support critical business decisions.
2. create models within geospatial visualization solutions to guarantee business decisions in an assertive and timely manner.
3. provide analytical methodologies to understand and address key business questions and problem statements.
4. work together with business teams across the organization to identify and design solutions through an analytical lens.
5. promote a data-driven culture with team activities to expand understanding and utilization of data science.
6. establish code repositories/libraries to build a data science foundation that can be used for the modular design of solutions.
7. communicate analytics model results to key non-technical stakeholders in a nuanced and articulate manner to get their buy-in and sponsorship.
8. create end-to-end data science solutions from data modeling, model refinement, uat until production.
9. articulate the value of data science concepts/solutions to business stakeholders.
10. implement new data and analytic products and identify enhancements in current solutions.
skills
1. ai and ml
2. python
leadership
1. personal mastery
2. agility
3. passion for high-performance
about us
better business. Better world. Better you.
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