Senior Data Science

2 semanas atrás

Rio de Janeiro, Rio de Janeiro, Brasil buscojobs Brasil Tempo inteiro
Overview

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company's projects Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work

Project

Project - the aim you'll have

We are looking for a Senior Data Science to join one of our USA Clients, 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 our back-end data pipeline and analytics stack, and you will be responsible for building a range of features and data services, from exploratory prototypes to robust, hardened production implementations.

If you enjoy working with cutting-edge technologies in a fast-paced environment this opportunity is for you

Responsibilities

Contribute to building an AI-powered analytics and data platform; focus on the back-end data pipeline and analytics stack; develop features and data services from prototypes to production-ready implementations.

Experience & 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, personal growth
  • Educational resources
  • Flexible schedule and work from anywhere
  • Referral Program
  • Supportive and chill atmosphere
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