Chief Analytical Strategist

Bebeedatadriven; Porto Alegre; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading data analytics company in Porto Alegre is seeking a Data Scientist to unlock your potential in a transformative role. You will leverage analytical thinking and problem-solving skills to address complex challenges and extract valuable insights to guide business decisions. The ideal candidate will communicate effectively with diverse stakeholders and utilize cloud-based services, including AWS, and Big Data analytics tools such as Spark. Join us to thrive in our collaborative environment with a strong focus on continuous learning and development.

Qualificações

• Experience with cloud-based services such as AWS.
• Strong analytical and problem-solving skills.
• Ability to communicate complex technical concepts.

Responsabilidades

• Apply analytical thinking to complex problems.
• Deliver results using modeling techniques.
• Communicate technical concepts to various stakeholders.
• Utilize CI/CD pipelines for integration.
• Conduct Big Data analytics using Spark and cloud storage.
• Design APIs for data insights.
• Extract insights to inform business decisions.

Conhecimentos

Analytical thinking

Problem-solving

Communication

Experience with CI/CD

Cloud services (AWS)

Big Data analytics (Spark)

API design

Descrição da oferta de emprego

Overview

Unlock Your Potential. Embark on a career‑changing journey as a Data Scientist. Take advantage of the opportunity to transform your profession with limitless learning possibilities. Our culture fosters continuous improvement and mutual development, empowering you to expand your ideas through the right tools, contributing to our collaborative success environment.

Responsibilities

• Apply analytical thinking and problem‑solving skills to break down complex problems methodically.
• Utilize modeling techniques and experimental validation to deliver results effectively.
• Communicate technical concepts clearly to both technical and non‑technical stakeholders efficiently.
• Work with CI / CD pipelines for seamless integration.
• Work with cloud‑based services like AWS.
• Big Data analytics using Spark, cloud storage, and Big Query.
• Design robust, scalable APIs for data‑driven insights.
• Extract valuable insights from data to inform business decisions.