HOW MIGHT YOU DEFY IMAGINATION?
Youve earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge youve worked hard to acquire and the passion you already have. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the worlds leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this meaningful role.
CDnA -Senior Data Science Manager (Omnichannel Orchestration)
What you will do
Lets do this. Lets change the world. As part of the Commercial Data Science team, you will collaborate with business partners, service owners and IS peers to develop predictive 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. This is an onsite position based in Thousand Oaks CA.
This position will be primarily responsible for:
Supporting the development of data science, machine learning, and artificial intelligence capabilities across Amgens commercial organization
Leading measurement and tracking of various omnichannel CX enablement initiatives
Measuring the impact of cross-channel campaigns and the overall omnichannel program
Crafting and deploying a framework to supervise performance of various campaigns, and tactics at a granular level
Building high-performance algorithms, prototypes, predictive models, and proof of concepts
Identifying business needs and proposing potential analytics approaches for solutions
Creating prototypes and demonstrations to access and apply data assets
Communicating analysis ideas, progress and results to leadership and business partners
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
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Doctorate degree and 2 years of data science and/or analytics experience
Masters degree and 6 years of data science and/or analytics experience
Bachelors degree and 8 years ofdata science and/or analytics experience
Associates degree and 10 years of data science and/or analytics experience
High school diploma / GED and 12 years of data science and/or analytics experience
Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain
Experience with databases including relational, NoSQL, and Graph
Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow
Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment; you can stand up web applications; documentation, version control, and code review is in your blood
Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
Diligent technical proficiency with strong logical, problem solving, and decision-making skills.
Excellent organization/planning skills and talent for leading many large and sophisticated datasets.
Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
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
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 annual salary range for this opportunity in the U.S. is $152,838.00- 181,535.
In addition to the base salary, 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
for a career that defies imagination
Objects in your future are closer than they appear. Join us.