Job Description

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.

Looking for a position that will finally challenge your analytic talent? Do you want your unique abilities to carry you to the next level? If your best ideas tend to wander outside of the box we want to talk to you.

As a Data Analyst III working in Digital Commerce you will be part of a team dedicated to growing the business efficiency of a Fortune 100 Company. This position provides an exciting way for an expert, high-aptitude individual to work with a high-performing team and make immediate contributions. If you enjoy math, programming and problem solving this may be the job you are looking for. Our team is working on real problems!

This position will be an in-person position located in Pittsburgh, PA. Working with a team of phenomenal people you will learn how to navigate the complex business concerns and translate them into processes and algorithms. These solutions will be presented to fellow analysts and internal business partners. There will be a continuous challenge to develop new analytic capabilities and improve existing ones on a wide variety of projects.

Location: Pittsburgh, PA - 300 Industry Drive

Responsibilities:

• Apply sophisticated data algorithms to build models which could include: customer acquisition, cross sell, customer retention, recommendation engines, general optimization 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
• Share ideas across the team to come up with the best algorithms and approaches

Skills employed in this job will include:

• Extracting data from multiple sources, cleaning and validating for duplicates and other anomalies
• Graphing and visualization
• Identify patterns in data and turn those patterns into market opportunities
• Employ math and statistics into algorithms to generate real-time predictive systems
• Write code from scratch to build solutions that don't align with any available turnkey packages
• Understanding how to create a computationally efficient solution
• Accurately manage data coming from multiple domestic and international sources
• Proactively build solutions as opportunities are identified

Minimum Qualifications:

• Bachelor's Degree with 2 years of meaningful experience in complex analytics, statistics, applied math or related, or
• Master's Degree or higher with 1 years of similar experience
• Willingness to wrangle data and solve elusive problems
• Strong aptitude for math and numerical estimation
• Proficiency in Python (or PySpark) and SQL
• Excellent written and oral communication skills, including an ability to communicate across people of varying technical and business acumen
• Passionate about continuous learning

Preferred Qualifications:

• Experience in eCommerce desirable but not required
• Experience with version control / source code management systems (Git, GitHub)
• Solid understanding of SQL Server, Databricks, Spark, Oracle or Power BI
• AWS/Cloud Computing
• Exposure to a variety of operating systems and computing platforms
• Strong desire to become involved with machine learning
• Familiarity with available Open Source solutions that will boost the team's efficiency

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.

Apply today! http://jobs.thermofisher.com

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.

Accessibility/Disability Access

Job Seekers with a Disability: Thermo Fisher Scientific offers accessibility service for job seekers requiring accommodations in the job application process. For example, this may include individuals requiring assistance because of hearing, vision, mobility, or cognitive impairments. If you are a job seeker with a disability, or assisting a person with a disability, and require accessibility assistance or an accommodation to apply for one of our jobs, please submit a request by telephone at 1-855-471-2255*. Please include your contact information and specific details about your required accommodation to support you during the job application process.

*This telephone line is reserved solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes, such as not being able to get into the career website, following up on an application, or other non-disability related technical issues will not receive a response.

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.