Data Science Director - Marketing Investment Analytics

About the role

Join Amgens Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease, we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll 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 lie within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Responsibilities

• Build, maintain, and evolve market level marketing mix models to estimate the causal impacts of marketing activities on Amgen's financial outcomes in the short and long term
• Leverage non-linear constrained optimization to operationalize the suite of Marketing Mix Models and develop a scenario planning and optimization tool that can be used by the Marketing Analytics and Marketing teams to optimize marketing investments across products, channels, markets, and time
• Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact
• Design, implement, and analyze experiments and quasi-experiments to measure the impact of new commercial initiatives
• Accountable for measurement of spend efficiency and for recommendations on optimization of future spend across brands, tactics, channels, and audience types
• Collaborate with Marketing, Media, Finance and other Analytics teams to help create marketing budgets and supervise spending to ensure cost-effectiveness and improve ROI
• Hire, coach, mentor and lead a team of analytical leads that deliver data-driven recommendations that inform commercial investment decisions

Requirements

• Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Or Masters degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Or Bachelors degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Basic Qualifications

Basic Qualifications: Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics) Or Masters degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics) Or Bachelors degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

Qualifications

• Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Or Masters degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Or Bachelors degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Basic Qualifications

Basic Qualifications: Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics) Or Masters degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics) Or Bachelors degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

Skills

• Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Or Masters degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Or Bachelors degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)
• Basic Qualifications

Basic Qualifications: Doctorate degree and 4 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics) Or Masters degree and 8 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics) Or Bachelors degree and 10 years of experience in a quantitative field (e.g. Engineering, Computer Science, Applied Math, Statistics)

Benefits

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 where possible.

Pay

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.

Schedule

This is a flex commuter/hybrid position in either Thousand Oaks, CA or Deerfield, IL offices, expected to be in office up to 3 times a week.