Scientist III, Data Sciences

at  Thermo Fisher Scientific

JOB DESCRIPTION

Thermo Fisher Scientific Inc. is seeking a highly motivated individual with a strong work ethic to join our team as a Scientist III, Data Sciences. As part of our global organization, you will have the opportunity to make a meaningful impact on a global scale, contributing to our mission of enabling customers to make the world healthier, cleaner, and safer. This unique opportunity allows you to work on world-class solutions for challenging problems, such as protecting the environment, ensuring food safety, and advancing cancer research.

As a Scientist III, you will be an essential member of our Corporate Data Science team, collaborating with data scientists, data engineers, business analysts, and program/product managers. You will report to a senior member of the data science team and work closely with experts throughout the company to develop tailored targeting strategies using machine learning techniques. Your responsibilities will include:

• Applying your deep knowledge of machine learning to create novel targeting strategies and product recommendations.
• Collaborating with non-technical staff across the organization to craft effective solutions.
• Identifying, sanitizing, and combining data from various sources.
• Building and maintaining automation pipelines.
• Independently creating and deploying data science and machine learning solutions.
• Embracing continuous learning and thriving in a dynamic environment.

To excel in this position, you should possess a Bachelor’s Degree or equivalent experience of at least 3 years in data science, analytics, statistics, mathematics, or a related field. Alternatively, a graduate degree or equivalent experience of at least 1 year in the same fields is also considered acceptable. Moreover, the following qualifications are essential:

• Deep understanding of the scientific process and its application in industry.
• Working proficiency in industry-standard machine learning tools (e.g., sklearn, Keras, MLFlow) and deployment life cycle.
• Strong command of statistical topics, including distributions, hypothesis testing, and experiment design.
• Demonstrated proficiency in data storage and management solutions, such as Oracle, Postgres/Redshift, and S3, or equivalent experience.
• Hands-on experience with distributed computational frameworks; experience with Spark is preferred.
• Technical proficiency in Python and SQL; familiarity with R, C, C++, Java, or other languages is a plus.
• Working knowledge of cloud platforms, such as AWS, Azure, etc.
• Foundational understanding of sales and marketing operations, including key performance indicators.

Thermo Fisher Scientific Inc. is an Equal Opportunity Employer and values diversity in its workforce. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We also provide reasonable accommodations to job seekers with disabilities, including those with hearing, vision, mobility, or cognitive impairments. If you require an accommodation during the application process, please contact us at 1-855-471-2255*. We appreciate your interest in this position and welcome your application.
Apply today at http://jobs.thermofisher.com.

• Applying your deep knowledge of machine learning to create novel targeting strategies and product recommendations.
• Collaborating with non-technical staff across the organization to craft effective solutions.
• Identifying, sanitizing, and combining data from various sources.
• Building and maintaining automation pipelines.
• Independently creating and deploying data science and machine learning solutions.
• Embracing continuous learning and thriving in a dynamic environment