Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

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 of data scientists at Thermo Fisher Scientific, where you'll contribute to innovation through advanced analytics and AI solutions. As a Scientist II in Data Sciences, you'll apply technologies to solve complex business challenges across our organization. You'll work on diverse projects ranging from predictive modeling and machine learning to generative AI applications, collaborating with teams to deliver solutions that advance our mission of enabling customers to make the world healthier, cleaner, and safer.



In this role, you'll design and implement analytical models, perform exploratory data analysis, and develop data-driven insights that inform strategic decision-making. You'll have the opportunity to work with advanced tools and technologies while contributing to meaningful projects that have real-world impact. This position offers professional growth opportunities and the chance to work with skilled professionals in a collaborative environment focused on innovation.



REQUIREMENTS:

Advanced degree with no prior experience required, or Bachelor's degree plus 2 years of experience in applied data science or related role Preferred Fields of Study: Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative field Additional relevant certifications in machine learning, AI, or data science a plus Strong proficiency in Python, SQL, and data analysis tools Expertise in machine learning algorithms, statistical modeling, and data visualization Experience with cloud platforms (AWS, Azure) and modern data architectures Proficient in data engineering and ETL processes Experience with Databricks, Spark, and big data technologies Knowledge of generative AI and natural language processing Strong understanding of statistical concepts and experimental design Experience with data visualization tools (Power BI, Tableau) Excellent problem-solving and analytical skills Strong communication skills and ability to present complex findings to stakeholders Experience working in cross-functional matrix environments Demonstrated success in delivering data-driven solutions Ability to work independently and collaborate effectively with teams Experience with version control systems (e.g., Git) * Travel may be required (0-25%)