Data Scientist I

Thermo Fisher Scientific•Morrisville, NC

2d•Onsite

About The Position

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 Thermo Fisher Scientific as a Finance Data Scientist I and contribute to our mission to enable customers to make the world healthier, cleaner, and safer. In this role, you'll develop analytics models and generate valuable predictive business insights through the application of statistics, machine learning, and advanced mathematics. Working with cross-functional teams, you'll analyze complex datasets, develop innovative solutions, and contribute to data-driven decision-making that impacts global health outcomes. As a valued member of our data sciences team, you'll explore structured and unstructured data, implement machine learning algorithms, and create effective visualizations that communicate insights from data. You'll have the opportunity to work with current technologies, including Generative AI, and contribute to projects that span laboratory, digital, and clinical trial services. This position offers a combination of technical challenge and business impact, with opportunities to collaborate with diverse teams across our organization. Thank you for your interest as you consider starting a new career journey with us. As the world leader in serving science, our colleagues develop critical solutions through innovation—and build rewarding careers. Discover their extraordinary stories and connection to our Mission to enable our customers to make the world healthier, cleaner and safer. Their work is a story of purpose. What story will you tell? Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of more than $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Thermo Fisher Scientific is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, creed, religion, color, national or ethnic origin, citizenship, sex, sexual orientation, gender identity and expression, genetic information, veteran status, age or disability status.

Requirements

Bachelor's degree required, no prior experience required
Strong proficiency in statistical analysis, machine learning algorithms, and programming, particularly in Generative AI applications
Expertise in Python, R, SQL, and data visualization tools (Power BI, Tableau)
Experience with deep learning frameworks such as TensorFlow or PyTorch
Proficiency in exploratory data analysis techniques and data preprocessing
Knowledge of modern data management systems including relational databases and various data stores
Strong data engineering skills, including ETL processes and data pipeline development
Experience with big data frameworks and cloud platforms (e.g., Databricks, AWS, Azure)
Proven ability to translate complex technical concepts for non-technical stakeholders
Excellent problem-solving and analytical thinking skills
Strong written and verbal communication abilities
Ability to work independently and collaborate effectively in a cross-functional environment
Detail-oriented with strong focus on data quality and accuracy
Ability to manage multiple priorities and deliver high-quality work products
Experience working in dynamic environments

Nice To Haves

Preferred Fields of Study: Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field
Experience with CRM systems and process improvement methodologies preferred

Responsibilities

develop analytics models
generate valuable predictive business insights through the application of statistics, machine learning, and advanced mathematics
analyze complex datasets
develop innovative solutions
contribute to data-driven decision-making
explore structured and unstructured data
implement machine learning algorithms
create effective visualizations that communicate insights from data
work with current technologies, including Generative AI
contribute to projects that span laboratory, digital, and clinical trial services
collaborate with diverse teams