Senior Data Scientist(Data & Analytics) - Python
About this opportunity
Career Category
Process Development
Job Description
How might you defy imagination?
At Amgen, our shared mission to serve patients drives all that we do. In this vital role, you will join Amgen's Transformative Digital Capabilities (TDC) organization within Process Development and help accelerate digital transformation through analytics, data products, and AI-enabled solutions.
What will you do
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 lead analytical initiatives that improve decision-making, increase data accessibility and usability, and enable scalable digital and AI capabilities across Process Development. You will work across a range of initiatives spanning data strategy, advanced analytics, process optimization, digital products, and data science solutions that improve business outcomes and accelerate innovation.
A successful candidate will independently manage multiple assignments, anticipate and prevent potential problems, develop practical solutions aligned to operational objectives, and provide guidance to other professionals.
Job Requirements
Partner with stakeholders to identify and prioritize opportunities where analytics, AI, or data science can drive measurable value.
Lead the design and development of analytical solutions, dashboards, models, and data products that support scientific and business decision-making.
Apply statistical, machine learning, and data science methods to solve complex business and scientific problems.
Drive exploratory analysis, trend analysis, forecasting, and modeling using multiple sources of data.
Contribute to the development and deployment of AI-enabled solutions, including machine learning and generative AI use cases where appropriate.
Improve data accessibility, usability, quality, and stewardship in partnership with data, product, and engineering teams.
Translate business problems into analytical approaches, define success metrics, and communicate recommendations to technical and non-technical audiences.
Lead or co-lead small projects or workstreams and provide guidance to peers on analytical methods and best practices.
Help shape standards and repeatable approaches for analytics, visualization, and data science delivery.
Stay current with emerging technologies, data science methodologies, and industry best practices and apply them pragmatically to Amgen's environment.
Basic Qualifications
Master's degree ORÂ Bachelor's degree and 7 - 11 years of relevant experience
Preferred Qualifications
Experience applying data science, analytics, or statistical methods to solve complex business or scientific problems.
Strong proficiency in Python, R, SQL, or related analytical programming and query languages.
Experience designing dashboards and visualizations using Spotfire, Tableau, Power BI, or similar tools.
Experience developing and deploying analytical models, decision-support tools, or data products.
Understanding of data governance, metadata, data quality, and data management principles.
Familiarity with machine learning, AI, and generative AI concepts and practical applications.
Strong stakeholder engagement and communication skills with the ability to explain analytical insights clearly.
Experience working in cross-functional teams and Agile environments.
Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries preferred.
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 393 comparable Senior Information Technology roles across 49 biopharma companies.
Salary context
61 of 393 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 393 comparable roles
+ 22 more countries
Seniority mix
393 of 393 peers have a known seniority level
Therapeutic area mix
1 of 393 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.