1 VAGA DE Analista Desenvolvedor EM Curitiba / PR

Função/cargo da vaga:

Analista Desenvolvedor

Empresa:

Nome da empresa disponível para cadastrados.

Salário da vaga de emprego de Analista Desenvolvedor:

A combinar

Cidade/Estado:

Tipo de Vaga:

Home Office

Regime de contrato:

Efetivo/CLT

Descrição da vaga de Analista Desenvolvedor:

Data engineer brazil position description if you want to be a part of an exciting management reporting and business intelligence team where you can drive and execute on goals for the volvo truck and mack truck brand, come join us! Additionally, you will be engaged within the advanced analytics and machine learning initiatives focused on commercial areas, assisting stakeholders located in different departments. You will also be a part of initiatives with data scientists already working connected to the management reporting and bi team. We aim to apply advanced analytics and ai to make better data-Driven decisions to improve how we sell and service the market. This is how you could make an impact: the data engineer/python developer is responsible for working in a multi-Brand environment, providing reports, developing tools, and advanced analytics across multiple departments and dealers, helping improve sales forecast, pricing, product configuration, process mining, and pipeline management among other aspects of the commercial operation. The data engineer will: work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, sales & marketing, and business strategies. Develop custom algorithms to apply to big data. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop a/b testing frameworks for data driven applications and to test model quality. Develop processes and tools to monitor and analyze model performance and data accuracy. Who are you: applicants must have a bachelors (or masters degree preferred) in computer science, mathematics, or statistics or a similar quantitative field. To be the perfect match for this role, your critical competencies will include: knowledge of python, sql, and spark to manipulate and draw insights from large datasets (experience working with azure databricks preferred) knowledge of unsupervised and supervised machine learning techniques (industry experience preferred) an understanding of statistical techniques and concepts knowledge about azure cloud services (industry experience with azure databricks, azure blob storage, azure web apps, and/or azure container services is preferred) exposure to software development practices, including version control, unit testing, and code review familiar with mlops (industry experience with mlops preferred) exposure to big data (experience applying custom algorithms and advanced analytics on big data is preferred) experience preprocessing unstructured data for predictive models creative thinking and willingness to find novel solutions with an emphasis on delivering high-Quality work must have good energy, a positive attitude, and thrive in creative thinking excellent written and verbal communication english skills for coordinating across teams.