Senior Data Science Analyst

• Work Schedule
• Standard (Mon-Fri)
• Environmental Conditions
• Office
• Job Description
• When you join us at Thermo Fisher Scientific, you'll be part of an inquisitive team that shares your passion for exploration and discovery.

With revenues of more than $40 billion and the largest investment in R D in the industry, we give our people the resources and chances to create significant contributions to the world. If you are passionate about how the intersection of finance, data solutions, data science, analytics, and data visualization come together to tell a story and drive decision-making within a world-leading life science company, then this is the role for you! Part of the Finance Digital Transformation organization, the

• Senior Data Science Analyst
• will be working closely across the entire matrix of divisions and functions.

They will be responsible for design, development and maintenance of analytics and data solutions - with customers across all levels and technical backgrounds - all in service to produce data insights that drive overall efficiency, productivity, and revenue. The successful candidate will have strong business analytics and communication skills, combined with experience in data analytics and reporting tools, data ETL, knowledge in modeling and excellent project management skills.

• Key Responsibilities:

• + Apply data science techniques (statistical analysis, predictive modeling, experimentation) to uncover insights and drive decision-making + Develop and maintain advanced dashboards and visualizations (e.

g., Power BI) leveraging well-structured data models + Translate business requirements into robust advanced analytics and AI solutions, partnering closely with Finance, Operations, and IT stakeholders + Drive continuous improvement initiatives, identifying opportunities for automation, efficiency gains, and cost savings + Explore and experiment with Generative AI tools and workflows (e.g., code generation, data exploration, natural language querying, and automation) to enhance productivity and insight generation + Evaluate and pilot AI-assisted analytics use cases, integrating them responsibly into existing data ecosystems where appropriate + Design, build, and maintain scalable data pipelines and analytics solutions using Python and SQL + Mentor and provide technical guidance to junior team members on coding standards, modeling best practices, and analytics methodologies

• Requirements/Qualifications:

• + Bachelor's degree in a quantitative field, such as Statistics, Computer Science, Mathematics, Data Science, Finance, Business Administration, or a related field, master's preferred + 5+ years' experience in a reporting/data analyst or data scientist role with progressive responsibilities and scope + Experience building models and analyzing large, complex data sets yielding opportunities for revenue and/or process improvement within an organization + Technical proficiency in Python and SQL + Expertise in data reporting tools (Power Bi, Tableau, SAS Analytics) + Interpersonal skills: exceptional verbal/written communication + Proven track record of achieving desired results without direct report authority + Knowledge of Agile/Scrum methodology is a plus Relocation assistance is not provided.

Must be legally authorized to work in the United States now or in the future without sponsorship. Must be able to pass a comprehensive background check, which includes a drug screening. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Watch as our colleagues explain 5 reasons to work with us. As one team of 100,000+ colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement - working together to accelerate research, solve complex scientific challenges, drive technological innovation and support patients in need. #StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.