Sobre esta vaga de Senior Data Scientist – AI/ML na Thermo Fisher Scientific
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join our team at Thermo Fisher Scientific as a Data Scientist III and contribute to global healthcare and scientific innovation.In this role, you will serve as a hands-on technical and business leader, responsible for shaping high-value Data Science and AI solutions across multiple business areas. The position combines deep technical expertise, leadership in emerging technologies, senior stakeholder engagement, mentoring, and portfolio-level decision-making, while remaining actively involved in solution architecture and complex technical delivery. Working in a collaborative environment, you will design, develop, and deploy advanced data science and AI solutions that improve operational efficiency, support better decision-making, and create measurable business impact. This role provides the opportunity to work with cutting-edge technologies while contributing to our mission of enabling our customers to make the world healthier, cleaner, and safer.
REQUIREMENTS:
· Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics or a related quantitative field; advanced degree is beneficial.
· Typically 5-7+ years of progressive experience in data science, machine learning, AI or advanced analytics.
· Deep hands-on expertise in Python, SQL, statistical modeling, machine learning, solution architecture and cloud platforms.
· Demonstrated experience delivering production-grade data science or AI solutions with measurable business impact.
· Strong understanding of modern AI approaches including GenAI/LLMs, RAG, AI agents, graph technologies and evolving AI ecosystems.
· Proven ability to influence senior stakeholders and translate business strategy into technical solutions.
· Strong commercial/business acumen and ability to prioritize based on value rather than technical novelty.
· Demonstrated technical leadership, mentoring and cross-functional influence.
