Senior Data Science

Senior Data Science - Detalhes da Vaga. ● Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!Project - the aim you''ll haveWe 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!Expectations - the experience you need7+ years of experience in data science, applied analytics, or adjacent roles. ●Bachelors or masters 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 foundationable 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 growthEducational resourcesFlexible schedule and work from anywhereReferral ProgramSupportive and chill atmosphere. Requisitos para participar do processo. ● . O que oferecemos.