Ativa os alertas de emprego por e-mail!

Senior Data Science

Caderno Nacional

São Paulo

Teletrabalho

BRL 120.000 - 160.000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A multicultural company in São Paulo seeks an experienced Senior Data Scientist to join a USA client focused on a climate change project. You will develop back-end data pipelines and collaborate with a multidisciplinary team to create AI-powered analytics that help reduce industrial carbon footprints. Candidates should have over 7 years of experience in data science and strong programming skills in Python. This role offers opportunities for professional development and a flexible work environment.

Serviços

Professional development opportunities
Flexible schedule
Work from anywhere

Qualificações

  • 7+ years of experience in data science or applied analytics.
  • Experience in energy, process, or climate-related industrial data is a plus.
  • Ability to work in fast-paced, startup-style environments.

Responsabilidades

  • Build and maintain the back-end data pipeline and analytics stack.
  • Develop features from exploratory prototypes to robust implementations.
  • Collaborate with a multidisciplinary team.

Conhecimentos

Data analysis
Programming in Python
Critical thinking
Data storytelling

Formação académica

Bachelor’s or Master’s degree in relevant field
Descrição da oferta de emprego
Overview

Join a multicultural company in constant growth with an excellent work environment certified by Great Place To Work. Project: Senior Data Scientist to join a USA client, a start-up working on an exciting climate change project. You will be part of a dynamic team building an AI-powered analytics and data platform to help reduce the carbon footprint of industrial manufacturing. Your work will focus on the back-end data pipeline and analytics stack, building a range of features and data services from exploratory prototypes to robust, production-ready implementations. If you enjoy working with cutting-edge technologies in a fast-paced environment, this opportunity is for you.

Responsibilities
  • Build and maintain the back-end data pipeline and analytics stack.
  • Develop a range of features and data services from exploratory prototypes to robust production implementations.
  • Collaborate with a multidisciplinary team to deliver AI-powered analytics that reduce carbon footprint in industrial manufacturing.
Qualifications
  • 7+ years of experience in data science, applied analytics, or adjacent roles.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Mechanical or Chemical Engineering, Computational Statistics, or a related technical field.
  • Proven ability to work across unfamiliar data domains and quickly build understanding.
  • Experience in industrial/manufacturing data (energy, process, or climate-related) is a plus.
  • Strong programming skills in Python, with experience writing production-quality code.
  • Proven data analysis and statistics foundation—able to recognize what makes a “good” analysis even if the AI is doing the heavy lifting.
  • Experience designing dashboards and visualizations that communicate insights effectively.
  • Strong critical thinking, problem-framing, and hypothesis-driven analysis.
  • Excellent communication skills with a talent for data storytelling.
  • Intellectual curiosity and ability to adapt quickly to new problem spaces.
  • Comfort working in fast-paced, startup-style environments.
Nice to have
  • Familiarity with modern AI/LLM tools and workflows.
  • Prior experience configuring or extending agent-based or automated analytics systems.
  • Exposure to cloud platforms (AWS/GCP/Azure) and data engineering concepts.
  • Understanding of manufacturing and/or energy-related industrial challenges.
Our offer
  • Professional development and personal growth opportunities.
  • Educational resources; flexible schedule and work from anywhere.
  • Referral program; supportive and collaborative atmosphere.

Interested applicants should apply via the Caderno Nacional portal.

Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta um ficheiro em formato PDF, DOC, DOCX, ODT ou PAGES até 5 MB.