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Data Scientist

* Salário: R$ 3.000 a R$ 6.000 por mês (estimado)

* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.

Área: Tecnologia da Informação

Nível: Junior

Volis: Transforming chaos into order.

At Volis, we are revolutionizing the way companies utilize their data. We are a rapidly growing startup with the mission of unlocking the hidden potential in organizations' data, delivering actionable insights and innovative solutions. We offer end-to-end solutions that cover all aspects of data transformation to the use of AI and Machine Learning algorithms.

Your journey as a Data Scientist:

As a Data Scientist at Volis, you will play a key role in building end-to-end solutions, from conception to production implementation. You will have the opportunity to:

  • Design end-to-end solutions: Create predictive models and machine learning solutions that solve real business problems.
  • Deliver business-critical data science solutions with Palantir Foundry: Use Palantir Foundry to develop, deploy, and operationalize analytical and machine learning solutions — from data exploration and modeling to production and decision support — in complex, high-impact enterprise environments.
  • Explore massive data: Work with large volumes of data on cloud platforms, using advanced exploration and analysis techniques.
  • Innovate with AI: Keep up with the latest trends in Artificial Intelligence and apply concepts like Generative AI in your projects.
  • Directly impact the business: Collaborate with business areas to understand their needs and translate them into effective data solutions.
  • Develop the team: Share your knowledge and help build a company that is a reference in the field.

What we are looking for:

  • Solid experience: experience as a Data Scientist with a proven track record of impacting business outcomes, including experience deploying and maintaining machine learning models in production (MLOps) with tools such as MLflow, Kubeflow, AWS SageMaker, Azure ML, Vertex AI.
  • Professional excellence: Deep knowledge in Python, SQL, machine learning techniques, data analysis and best practices for MLOps.
  • Education: Quantitative fields such as Computer Science, Statistics, or Engineering.
  • Ownership mindset: Proactivity, autonomy, and a passion for solving complex problems.
  • Results-oriented: Ability to deliver projects with quality and within established deadlines.
  • Curiosity and continuous learning: Interest in keeping up with the latest market trends and enhancing your skills.
  • Fluency in English: It is essential as we have English-speaking clients.

What we offer:

  • Innovative work environment: Collaborative, remote culture with the opportunity to grow with the company.
  • Founder experience: Participate in the creation of a rapidly growing data startup. Help to define best practices, processes and learn by experience.
  • Great challenges: Chance to work with large companies in real estate, highway management, construction, and more.

Nice to have skills:

  • Advanced Palantir Foundry experience: Previous experience building enterprise-grade analytical or AI solutions on Palantir Foundry, including data modeling, operational workflows, and integration with production ML pipelines.
  • Experience with Generative AI and/or Deep Learning.
  • Master's degree in an analytical field.

If you are passionate about data and seeking a professional challenge in a company that is revolutionizing the market, come join Volis!