Principal Data Scientist Optimization

Amgen

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profile Job Location:

Thousand Oaks, CA - USA

profile Monthly Salary: $ 217683 - 217683
Posted on: 4 days ago
Vacancies: 1 Vacancy

Job Summary

Career Category

Information Systems

Job Description

Join Amgens Mission of Serving Patients

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do. Since 1980 weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology Inflammation General Medicine and Rare Disease we reach millions of patients each year. As a member of the Amgen team youll help make a lasting impact on the lives of patients as we research manufacture and deliver innovative medicines to help people live longer fuller happier lives.

Our award-winning culture is collaborative innovative and science based. If you have a passion for challenges and the opportunities that lay within them youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Principal Data Scientist - Optimization

What you will do

We are seeking a Principal Data Scientist Optimization to join the Forecasting team within the AI & Data organization. This role will lead the development validation and deployment of advanced optimization models and decision-support solutions to guide strategic and operational decisions and help Amgen delivers on its every patient every time mandate.

This leader will partner across Commercial Operations Supply Chain Manufacturing Finance and Technology to transform Amgens approach to operational decision making through rigorous analytical methods. The role is particularly well suited to a creative problem solver with deep expertise in mathematical optimization including linear nonlinear and mixed-integer programming who is excited about applying these methods to hard problems in multi-echelon supply chain design capacity allocation and pricing/trade-off optimization.

Key Responsibilities

  • Design build and deploy optimization models using linear nonlinear and mixed integer programming techniques to support high value business decisions.

  • Develop optimization solutions for challenging supply chain and commercial problems such as capacity allocation supply planning inventory optimization portfolio tradeoffs and price / margin optimization.

  • Partner with forecasting simulation and analytics teams to incorporate uncertainty demand scenarios and operational variability into optimization-based decision frameworks.

  • Own the end-to-end modeling lifecycle including problem framing prototype development data analysis model formulation calibration validation testing deployment monitoring and model explainability.

  • Architect and develop decision-support tools and self-service applications that enable business leaders to evaluate tradeoffs and respond rapidly to changing market and operational conditions.

  • Collaborate with cross-functional teams in Commercial Operations Finance and Technology to ensure optimization solutions are integrated into critical business workflows and planning processes.

  • Develop a holistic understanding of Amgens systems and processes in relation to industry challenges and broader trends to identify opportunities and risks.

  • Evaluate emerging methods in optimization reinforcement learning and AI and assess where they can complement classical operations research approaches.

  • Establish optimization as a rigorous scalable capability across the organization while mentoring junior team members and setting standards for technical excellence.

Basic Qualifications

  • Doctorate degree and 2 years of data science in enterprise environments experience OR

  • Masters degree and 4 years of data science in enterprise environments experience OR

  • Bachelors degree and 6 years of data science in enterprise environments experience OR

  • Associates degree and 10 years of data science in enterprise environments experienceOR

  • High school diploma / GED and 12 years of data science in enterprise environments experience

    Preferred Qualifications

    • 8 years applying operations research data science or machine learning algorithms in an enterprise environment with demonstrated principal-level influence or equivalent depth of expertise.

    • Deep expertise in mathematical optimization including linear non-linear and mixed-integer programming constrained optimization and scenario-based optimization.

    • Demonstrated experience building and deploying models that drive measurable business value in areas such as supply chain manufacturing logistics pricing or resource allocation.

    • Strong understanding of Python SQL with hands-on experience using frameworks such as Pyomo PuLP OR-Tools Gurobi or equivalent.

    • Strong communication and story-telling skills with demonstrated ability to simplify complex concepts and influence executive decision making.

    • Exceptional stakeholder management skills that can drive alignment on relationships and metrics and communicate tradeoffs clearly.

    • An intellectually curious self-starter who is able to take ambiguous problems and build robust solutions from 0 to 1

    • Experience building and scaling optimization platforms or decision-support systems for biotech pharma healthcare manufacturing retail or consumer goods applications.

    • Familiarity with stochastic optimization robust optimization simulation-optimization decomposition methods heuristics or metaheuristics for large-scale decision problems.

    • Exposure to reinforcement learning or approximate dynamic decisioning methods.

    • Knowledge of healthcare or biotech commercial concepts including payer/provider dynamics formulary/coverage considerations or launch planning constraints

    What You Can Expect Of Us

    As we work to develop treatments that take care of others we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture well support your journey every step of the way.

    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.

    In addition to the base salary Amgen offers a Total Rewards Plan based on eligibility comprising of 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 that may include:

    • 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 including remote and hybrid work arrangements where possible

    Apply now for a career that defies imagination

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

    In any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

    Application deadline
    Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

    As an organization dedicated to improving the quality of life for people around the world Amgen fosters an inclusive environment of diverse ethical committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together we compete in the fight against serious disease.

    Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability status or any other basis protected by applicable law.

    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.

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Salary Range

160896.50USD -217683.50USD

Required Experience:

Staff IC

Career CategoryInformation SystemsJob DescriptionJoin Amgens Mission of Serving PatientsAt Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do. Since 1980 weve helped pioneer the world of bi...
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Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the ... View more

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