Manager - Data Scientist

Detalhes da Vaga

Manager - Data Scientist

Description:
The data scientist will be responsible for understanding the business need, extracting information from different sources, creating statistical models, evaluating and implementing them with the aim of creating an impact for our clients.
**Responsibilities**:
Carry out and lead several data science projects focused on creating recommendations that generate benefits (economic benefits, cost savings, margin increase) for decision making in operations.
Develop and manage a work team.
Development of data science projects using the CRISP methodology (business understanding, data consolidation/validation, creation of statistical models, evaluation of results with pilots and implementation) for the improvement and automation of decision making.
Being a data scientist means that you will take care of all aspects of our project.
Starting from the operational side to data collection and analysis, and finally visualizing and presenting to different countries.
A data scientist knows a little bit of everything; each step of the project, so they can offer better insights into the best solutions for a specific project and uncover patterns and trends.
In addition, they will be in charge of researching and developing new algorithms and approaches.
Challenges:
The opportunity to work within DHL is huge since it is a growing area and in the future the company's big decisions will be through these positions and projects.
Experiment with different approaches and challenges in a diverse and global environment.
Lead a new area for all of Latin America.
The challenging elements of the company offer data scientists an incredible opportunity to further their skills and knowledge at one of the best companies in the world.
**Requirements**:
Remote position -home office

Fluent English

Desirable Spanish

Leadership

Business sense

Presentations of results to business

Bachelor's degree in Mathematics, Actuary, Economics or related

Statistical knowledge

JOB ID**
**BR11988

COUNTRY**
**Brazil

CITY**
**CAMPINAS

CATEGORY**
**IT

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Salário Nominal: A acordar

Fonte: Whatjobs_Ppc

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