FreshRemote.Work

CDnA - Senior Decision Sciences Manager (Omnichannel Analytics)

US - Illinois - Chicago - Field/Remote, United States

Career Category

Sales & Marketing Operations

Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.

CDnA - Senior Decision Sciences Manager

Live

What you will do

Let’s do this. Let’s change the world. As part of the Commercial Decision Science team, you will collaborate with business partners, analytics teams and cross-functional stakeholders to build and deploy decision science models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need.

Flexible Commuter role to Deerfield, IL office. You will work on-site 2-3 days a week.

  • Supporting the development of data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization
  • Identifying business needs and proposing potential analytics approaches for solutions
  • Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients
  • Creating prototypes and demonstrations to access and apply data assets
  • Leading measurement and tracking of various omnichannel CX enablement initiatives, and cross-channel campaigns
  • Communicating analysis ideas, progress and results to leadership and business partners

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The decision science professional we seek is a collaborator with these qualifications.

Basic Qualifications:

Doctorate degree and 2 years of data science and/or analytics experience

OR

Master’s degree and 4 years of data science and/or analytics experience

OR

Bachelor’s degree and 6 years of data science and/or analytics experience

OR

Associate’s degree and 10 years of data science and/or analytics experience

OR

High school diploma / GED and 12 years of data science and/or analytics experience

Preferred Qualifications:

  • Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain
  • Strong logical, problem-solving, and decision-making skills.
  • Excellent organization/planning skills and talent for leading many large and sophisticated datasets.
  • Ability to communicate analysis in a clear, detailed, and practical manner
  • Passion for learning and staying on top of current developments in sophisticated analytics
  • Biotech / Pharma experience
  • Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or working with large datasets

Thrive

What you can expect of us

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.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:

  • 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 and bi-annual company-wide shutdowns
  • Flexible work models, including remote work arrangements, where possible

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#CDnA

.

Salary Range

165,606.00 USD - 199,987.00 USD Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Field/Remote On-site 2-3 days a week

Benefits/Perks

Annual bonus program Career development Career development opportunities Comprehensive employee benefits Comprehensive employee benefits package Discretionary annual bonus Financial plans Flexible Spending Accounts Flexible work models Health and welfare plans Life and Disability insurance Personal growth Professional and personal growth Remote work Remote work arrangements Retirement and Savings Plan Retirement savings opportunities Stock-based long-term incentives Time-off plans Total Rewards Plan Welfare plans

Tasks
  • Build decision science models
  • Collaborate with business partners
  • Communicate analysis results
  • Create prototypes
  • Deploy analytics techniques
  • Identify Business Needs
Skills

Access Analysis Analytics Artificial Intelligence BioTech Biotechnology Business Campaign measurement Commercial Data Science Development Insurance Large datasets Leadership Machine Learning Manufacturing Marketing Marketing Analytics Marketing Operations ML Mlib Operations Optimization Organization Pharma Problem-solving Programming Python R Resource optimization Sales SAS Scikit-learn Teams

Experience

10 years 12 years 2 years 4 years 6 years

Education

Associate Associates Bachelor's Degree DO Doctorate Doctorate degree GED High School High school diploma Master's

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9