Data Scientist - Forecasting
Amgen · United States
- Hybrid
- Full-time
- $130,000 / year
- United States
Job highlights
- Develop advanced forecasting models.
- Analyze complex datasets for insights.
- Collaborate cross-functionally on solutions.
- Support decision-making with data.
- Advance AI and data science methods.
About the role
Data Scientist - Forecasting
Join Amgen’s 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. 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 lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
What You Will Do
We are seeking a Data Scientist, Forecasting to join the Forecasting team within the AI & Data organization. This role will support the development of statistical, Bayesian, causal, and machine learning models that enhance forecasting capabilities and quantify uncertainty to guide decision-making across the company.
This role will work cross-functionally to help build forecasting solutions that support critical business processes and contribute to Amgen’s “every patient, every time” mandate. The position is well suited to a curious and collaborative problem solver who is excited about applying forecasting methods, complex datasets, and modern analytical tools to build decision-support solutions that inform planning and business decision-making.
Key Responsibilities
- Develop and refine statistical, Bayesian, and machine learning models to support demand forecasting across near-, medium-, and long-term planning horizons.
- Analyze large, complex datasets using statistical modeling, forecasting, and analytics techniques to generate insights that support business decision-making.
- Support the development of simulation and scenario-analysis capabilities to better understand dynamics among patients, payers, providers, and market conditions.
- Contribute across the modeling lifecycle, including business problem framing, exploratory data analysis, feature engineering, model development, validation, deployment support, monitoring, and explainability.
- Collaborate with senior team members to evaluate and apply new tools and methodologies in forecasting, data science, and AI to business problems.
- Communicate analytical findings and model results clearly to technical and non-technical stakeholders.
Basic Qualifications
- Master’s degree ORBachelor’s degree and 2 years of applying data science, analytics, or statistical modeling in industry, research, or enterprise environments experience OR Associate’s degree and 6 years of applying data science, analytics, or statistical modeling in industry, research, or enterprise environments experience OR High school diploma / GED and 8 years of applying data science, analytics, or statistical modeling in industry, research, or enterprise environments experience
Preferred Qualifications
- 2+ years of experience applying data science, analytics, or statistical modeling in industry, research, or enterprise environments.
- Experience with time-series forecasting, predictive modeling, or related quantitative methods.
- Proficiency in Python and SQL, with experience using tools such as scikit-learn, PyMC, PyTorch, TensorFlow, or similar data science libraries.
- Solid analytical and statistical foundation, with the ability to work with messy and complex datasets to generate actionable insights.
- Familiarity with model development workflows, including data preparation, feature engineering, evaluation, and interpretation.
- Strong communication skills, with the ability to explain technical concepts and results to a rapplying data science, analytics, or statistical modeling in industry, research, or enterprise environments.
- Strong collaboration skills and ability to work effectively in cross-functional environments.
- Intellectual curiosity and a willingness to learn, take on ambiguous problems, and grow in a fast-paced environment
- Experience applying machine learning, statistical modeling, or decision science methods in retail, consumer goods, supply chain, manufacturing, or similar settings.
- Exposure to causal inference, probabilistic modeling, or scenario analysis is a plus.
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, we’ll 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 where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
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.
Sponsorship
Sponsorship for this role is not guaranteed.
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.
Key skills/competency
- Data Science
- Forecasting
- Statistical Modeling
- Machine Learning
- Bayesian Modeling
- Python
- SQL
- Data Analysis
- Time-Series Analysis
- Model Development
Skills & topics
- Data Scientist
- Forecasting
- Machine Learning
- Statistical Modeling
- Python
- SQL
- Data Analysis
- Time Series
- Predictive Modeling
- Biotechnology
How to get hired
- Tailor your resume: Highlight experience in statistical modeling, forecasting, Python, and SQL. Quantify achievements in previous roles.
- Craft a compelling cover letter: Express your passion for Amgen's mission and specific interest in the Data Scientist Forecasting role.
- Prepare for technical interviews: Brush up on statistical concepts, machine learning algorithms, time-series analysis, and Python/SQL coding challenges.
- Showcase collaboration: Be ready to discuss experiences working in cross-functional teams and communicating complex findings to diverse audiences.
- Research Amgen's culture: Understand their patient-centric approach and commitment to innovation to align your responses with their values.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the typical career path for a Data Scientist at Amgen?
- At Amgen, a Data Scientist specializing in Forecasting can expect a path that often involves growing expertise in advanced modeling techniques. You might progress to leading projects, mentoring junior scientists, or specializing in specific therapeutic areas. The company encourages continuous learning and provides opportunities for career development within the AI & Data organization.
- What kind of data will I work with as a Data Scientist at Amgen?
- As a Data Scientist focusing on forecasting at Amgen, you will work with large, complex datasets. These can include patient data, market dynamics, payer and provider information, and various other sources relevant to demand forecasting across near-, medium-, and long-term planning horizons. The goal is to derive actionable insights to support critical business decisions.
- Does Amgen offer opportunities for professional development for Data Scientists?
- Yes, Amgen emphasizes professional and personal growth. For Data Scientists, this includes access to training, opportunities to learn new tools and methodologies in forecasting and AI, and potentially attending conferences. Their collaborative culture also fosters learning from senior team members.
- How does Amgen approach work-life balance for its Data Scientists?
- Amgen offers award-winning time-off plans and mentions flexible work models where possible. While the specific arrangement depends on the role and location, the company aims to support employee well-being alongside their professional journey, indicating a commitment to work-life balance.
- What are the key technical skills required for the Data Scientist Forecasting role at Amgen?
- The key technical skills for this Data Scientist role include proficiency in Python and SQL, with experience in data science libraries like scikit-learn, PyMC, PyTorch, or TensorFlow. A strong foundation in statistical modeling, time-series forecasting, predictive modeling, and machine learning is essential. Experience with model development workflows is also crucial.
- How important is a Master's degree for the Data Scientist Forecasting position?
- While a Master's degree is listed as a basic qualification, Amgen also considers candidates with a Bachelor's degree and 2 years of relevant experience, or an Associate's degree and 6 years of experience, or even a high school diploma/GED with 8 years of experience in data science, analytics, or statistical modeling. Therefore, relevant experience is highly valued.
- What is Amgen's mission and how does this role contribute to it?
- Amgen's mission is to serve patients living with serious illnesses by pioneering biotechnology and delivering innovative medicines. This Data Scientist role directly contributes by developing forecasting models that enhance decision-making, ultimately helping to ensure patients receive the treatments they need faster and more effectively.