Senior Specialist, Data Scientist

Merck•North Wales, PA

4d•Hybrid

About The Position

We are seeking a Data Scientist to join our R&D Quality Assurance Analytics & Tech Systems team. This role will be both responsible for developing and maintaining innovative data science solutions, and developing our Analytics solutions. The successful candidate will work closely with our business stakeholders to determine areas for business growth, develop new solutions using innovative technology, such as machine learning and generative AI, and develop/maintain Analytics Tools.

Requirements

Minimum 5 years of experience using advanced analytical tools, such as Python, R, and advanced SQL
Proficient user of at least one data visualization tool, such as PowerBI and Spotfire
Ability to develop new analytical models for advanced technical needs such as machine learning, forecasts, simulations, and optimizations.
Passion in learning and exploring the capabilities of new technology, as well as how to implement these technologies, such as Generative AI
Strong communication and collaboration skills.
Ability to understand business challenges and translate them into technical solutions.
Experience supporting and working with cross-functional teams in a global organization.

Nice To Haves

Business Intelligence (BI)
Computer Science
Data Algorithms
Database Design
Data Engineering
Data Literacy
Data Modeling
Data Science
Data Visualization
Data Visualization Tools
Generative AI
Machine Learning (ML)
Mentoring Youth
Mentorship
Microsoft Power Business Intelligence (BI)
Peer Mentoring
Python (Programming Language)
Quality Assurance (QA)
R Programming
Software Development
Stakeholder Engagement
Stakeholder Relationship Management
Structured Query Language (SQL)
Willingness to Learn

Responsibilities

Technically support current and new Data Science requests within our Research & Development Division QA space, including developing new innovative models and maintaining current solutions.
Develop and support new and current Analytics solutions, using tools such as PowerBI, Spotfire, and SQL.
Support the development of any AD HOC Analytics and Reporting solutions in a rapid manner
Become a subject matter expert (SME) on the current R&D Quality Data Domain in our Data Science and Analytics projects.
Effectively communicate insights and results from data analysis to both the QA Analytics team and the business stakeholders.
Understand the business challenges and business context of our advanced solutions that we support.
Collaborate with the QA Analytics team to discover new innovative solutions to our business problems
Identify opportunities to use Generative AI and work with leads to determine the best implementation approach, and collaborate with business stakeholders to understand how to best utilize AI or Data Science algorithms.
Be an active member of internal data science community, along with participating in external company consortiums to understand how the industry is using cutting-edge technology.
Provide mentorship and education for team members interested in Generative AI, our Analytics tools, data literacy, or other advanced analytics concepts to upskill our team and business