Data Scientist

Amgen • Thousand Oaks, MA

5d

About The Position

Join Amgen’s Mission of Serving Patients. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. In this vital role, you will join Amgen's Transformative Digital Capabilities (TDC) organization within Process Development (PD). TDC is at the forefront of digital transformation, enabling scientific and operational excellence through data integration, analytics, digital products, and emerging technologies. As a Data Scientist, you will partner with scientists, engineers, business stakeholders, and technology teams to unlock the value of Process Development data. You will help drive data-informed decision making through analytics, visualization, data product development, and AI-enabled solutions that improve efficiency, accessibility, and business outcomes across PD. You will contribute to a variety of initiatives focused on data strategy, data accessibility, process optimization, digital products, and advanced analytics, helping teams leverage data more effectively to accelerate innovation and deliver value to patients.

Requirements

• Master’s degree OR Bachelor’s degree and 2 years of Data Science experience OR Associate’s degree and 6 years of Data Science experience OR High school diploma / GED and 8 of Data Science experience

Nice To Haves

• Experience applying data science, analytics, or statistical methods to solve business problems.
• Experience with SQL and data analysis tools.
• Experience creating dashboards and visualizations using Spotfire, Tableau, Power BI, or similar platforms.
• Experience with Python, R, or related analytical programming languages.
• Understanding of data governance, data quality, and data management principles.
• Familiarity with AI, machine learning, or generative AI concepts and applications.
• Strong communication and stakeholder engagement skills.
• Experience working in cross-functional teams and Agile environments.
• Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries is preferred.

Responsibilities

• Design and develop dashboards, reports, and visualizations using tools such as Spotfire, Tableau, Power BI, or similar platforms.
• Support the development and deployment of data products and analytics solutions.
• Collaborate with stakeholders to gather requirements and translate business needs into analytical approaches.
• Perform exploratory data analysis, trend analysis, and statistical modeling to support business objectives.
• Support AI and machine learning initiatives through data preparation, analysis, and evaluation activities.
• Contribute to data governance, metadata management, and data quality improvement efforts.
• Present findings and recommendations to technical and non-technical audiences.
• Participate in Agile project teams and support delivery of digital and analytics initiatives.
• Stay current on emerging technologies, data science methodologies, and industry best practices.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level