Data Scientist

Amgen

Data Scientist at Amgen leveraging data analytics and AI to enhance operational efficiency and decision-making. Collaborating with cross-functional teams to develop innovative data solutions and visualizations.

Posted 6/19/2026full-timeCambridge • California, Massachusetts • 🇺🇸 United StatesJuniorMid-Level💰 $103,852 - $140,506 per yearWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Join Amgen's Transformative Digital Capabilities organization within Process Development.
Partner with scientists, engineers, business stakeholders, and technology teams.
Drive data-informed decision making through analytics, visualization, data product development, and AI-enabled solutions.
Contribute to data strategy, data accessibility, process optimization, digital products, and advanced analytics.
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.
Present findings and recommendations to technical and non-technical audiences.
Participate in Agile project teams and support delivery of digital and analytics initiatives.

Requirements

What you’ll need

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
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.

Benefits

Comp & perks

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.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceanalyticsstatistical methodsSQLdata analysisPythonRdata governancedata qualitydata management

Soft Skills

communicationstakeholder engagementcollaborationproblem solvingdata-informed decision makingpresentation skillscross-functional teamworkAgile methodology