Data Scientist (Remote)

What you will do

Lets do this. Lets change the world. Data is the new gold. Digitalization is generating large quantities of data and when used with intelligent automation, it will transform how we do work in Engineering. Be part of the Engineering Digital Transformation (EDT) within Global Engineering at Amgen. We are embarking on a journey that will digitize and automate how we deliver capital projects and manage the lifecycle of assets. The EDT is responsible for the digital advancement of the engineering business processes including Plan, Design, Build, Test, Operate & Maintain and Dispose.

Amgen Global Engineering is seeking a Data Scientist who would focus on integrating complex data sources, performing data analytics, applying data science models, and developing various visualizations and dashboards. This role will actively collaborate with various business leaders and design and implement sophisticated analytical models.

In support of Amgens mission to serve patients, the application of technology and innovation thinking with the digital solutions/products developed will create new levels of efficiency and speed in Project Delivery and Asset Lifecycle

Management.

Key Responsibilities:

Leverage large datasets to conduct Engineering project delivery and manufacturing analytics that include data gathering and requirements specifications, processing, analytics, and presentations
Understand and collect business/functional requirements, recommend metrics, and create a roadmap/timeline
Interact cross-functionally with a wide variety of people and teams. Work closely with domain experts to deliver value by developing novel, practical, scientific, data-driven solutions to meet business needs
Synthesize input into a prioritized feature list and build User Stories (requirements) for each feature
Build a wide range of data and analytics solutions, from descriptive to prescriptive, using sophisticated statistical and machine learning models
Prototype, build, and customize analytical applications to enable in-depth analysis
Define and create automated interactive dashboards and tools that turn data into business insights
Document data relations, data flows, and business logic
Partner with IS and Data Engineers to ensure that the models feeding the dashboards are robust, functional, and relevant to business needs
Ensures delivery of efficient, agile, integrated business and system processes while incorporating agile project management approaches

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is an individual with these qualifications.

Basic Qualifications:

Doctorate's degree Or
Masters degree and 3 years of Data Analytics and Manufacturing / Quality / Engineering experience Or
Bachelors degree and 5 years of Data Analytics and Manufacturing / Quality / Engineering experience Or
Associates degree and 10 years of Data Analytics and Manufacturing / Quality / Engineering experience Or
High school diploma / GED and 12 years of Data Analytics and Manufacturing / Quality / Engineering experience

Preferred Qualifications:

Good understanding of Engineering Project Delivery and facilities management
Expertise in advanced analytics and associated capabilities (e.g., AI, ML, pattern recognition, cloud-based application deployment, data lake/data fabric)
In-depth hands-on experience with analytical tools (e.g., Python/R, Dash, Tableau, SQL, React, other data visualization, data pipeline tools)
Experience in application development, application lifecycle management, and Agile development methodologies
Experience in collaborative coding
Experience with DevOps and software standard methodologies (i.e., version control, continuous integration, test-driven development)
Ability to bridge functions, particularly technical and non-technical worlds
Ability to communicate and provide significant business insights from data
Strong verbal/written communication skills with attention to detail and organization
Shown success in delivering results on multiple projects in an agile and fast-paced environment
Excellent problem solving, storytelling, and communication skills with the ability to explain technical details for the business
Independent, organized, able to multi-task in time-sensitive environments, and skilled in communication, facilitation, and collaboration
Comfortable working in a fast-paced, collaborative, Agile team environment

Thrive

Some of the vast rewards of working here

As we work to develop treatments that take care of others, we also work to care for our teammates professional and personal growth and well-being.

Full support and career-development resources to expand your skills, enhance your expertise, and maximize your potential along your career journey
A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
Generous Total Rewards Plancomprising health, finance and wealth, work/life balance, and career benefitswith compensation and benefits rated above 4 stars (out of 5) on Glassdoor

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Data Scientist (Remote)