Senior Data Scientist

Our Frederick Manufacturing Center (FMC) creates life-changing medicines for people around the world and has been recognized by our local community as being a Top 50’ Business in Frederick and awarded Frederick County’s ‘Best Place to Work’. This distinctive biologic manufacturing facility, with over 800 employees, plays a direct role in treating patients with cancer, respiratory diseases, and autoimmune conditions globally.

At FMC, we are committed to delivering life-changing medicines while also creating a workplace where people feel valued and connected. From catered site events and friendly competitions to community outreach, environmental and wellness programs, and team-building activities, we make time to celebrate achievements and recognize the diversity of our workforce. We are dedicated to fostering a culture of inclusion, collaboration, and continuous learning through ongoing skill development and training opportunities for our employees.

Driven by our ambition to accelerate growth, improve patients’ lives, and shape the future ofAstraZeneca Operations, there has never been a more exciting time to join our team.

This role is on site 5 days per week (Monday through Friday).

The Senior Data Scientist will drive business insights by leveraging statistical, machine learning, and AI methodologies. Key responsibilities include manipulating and preparing structured and unstructured data, developing advanced modeling algorithms, and presenting insights to stakeholders while articulating their implications. This role involves direct engagement with business users to understand their challenges, develop analytics strategies, and deliver value to the Biologics Operations unit.

The ideal candidate will blend hands‑on operational experience with computational science skills, strong communication abilities, and experience in applying data science within an operations environment. Additionally, the Senior Data Scientist will mentor junior team members and champion the application of data science and its potential.

• Relationship Building:
  Establish strong working relationships with Biologics Operations to develop an in‑depth understanding of business needs.
• Problem Translation:
  Translate unstructured, complex business problems into appropriate model and algorithm solutions.
• Operational Understanding:
  Leverage sufficient knowledge of the operations domain to work independently with relevant data sources, systems, and tools, and gain credibility with the business.

• Data Familiarization:
  Develop a robust understanding of relevant AZ data sources, including their quality and structure.
• Data Preparation:
  Utilize data manipulation and preparation skills, including SQL and Python, to prepare data for analysis.
• Machine Learning:
  Apply experience in machine learning to translate business problems into appropriate modeling solutions.
• Insight Extraction:
  Hands‑on experience of interrogating real‑world datasets to gain actionable insights.
• Communication:
  Explain complex methods and techniques to non‑technical audiences.

• Report Development:
  Design, develop, and optimize high‑performing dashboards using AWS, Dataiku, and Power BI.
• Report Design:
  Develop complex customer‑centered BI applications, dashboards, and scorecards using Human Centered Design principles.
• Data Model Configuration:
  Configure complex BI data models to optimize efficiency.
• User Support:
  Provide expert‑level support and training for users on BI applications and visualizations.
• Design Alternatives:
  Communicate BI software limitations and propose supportable design alternatives.

• AI Adoption and Implementation:
  
  Champio…