Work Schedule

First Shift (Days)

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.

Discover Impactful Work:

Working with a team of great people you will learn how to navigate sophisticated business concerns and translate them into processes and algorithms. These solutions will be presented to fellow analysts and business partners. There will be a continuous challenge to develop new analytic capabilities and improve existing ones on a wide variety of projects. The Scientist III, Data Sciences may choose the approach taken or may implement turnkey or suggested approaches.

A day in the Life:

• Apply advanced data algorithms to build models which could include: customer acquisition, up sell and cross sell, customer retention, recommendation engines and others.
• Create, validate and stress-test the algorithms that are employed.
• Pull data in from various sources and work with business leaders to create revenue generating strategies.
• Develop analytical and visual metrics to measure and compare campaign performance.
• Transform data on customer behavior and web engagement into product recommendations.
• Work with our Data Scientists to leverage machine learning and automation to enhance business processes.
• Share ideas across the team to come up with the best algorithms and approaches.

Keys to Success:

In order to thrive in this role you will need strong skills in:

• Extracting data from multiple sources, cleaning and validating for duplicates and other anomalies.
• Identifying patterns in data and turn those patterns into market opportunities.
• Employing math and statistics into algorithms to generate real-time predictive systems.
• Aligning and adapting business problems to the most efficient machine learning algorithm.
• Writing code from scratch to build solutions that don’t align with any available turnkey packages.
• Selecting and explaining the best analytical technique for the particular problem.
• Understanding how to create a computationally efficient solution.

Education:

• Bachelor's Degree with 4 years of proven experience in data science, analytics, statistics, applied math or related field OR
• Master’s Degree with 2 years of proven experience in data science, analytics, statistics, applied math or related field OR
• Completion of 2 year ThermoFisher Data Science Leadership Development Program.

Knowledge, Skills, Abilities:

• Strong skills for math and numerical estimation.
• Proficiency in Python (or PySpark) and SQL.
• Solid understanding of SQL Server, Oracle or Power BI.
• Experience with version control / source code management systems (Git, GitHub).
• Experience in eCommerce desirable but not required.
• Experience using Databricks or other cloud-enabled data science platform (AWS, Azure, GCP).
• Excellent written and oral communication skills, including an ability to communicate across people of varying technical and business acumen.
• Passionate about continuous learning.

Benefits

We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!

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.