Data Scientist Full-time

Data Scientist

Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.

Role Description:

As the Data Scientist at Amgen, you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities.

Roles & Responsibilities:

• Develop analytics to address customer needs and opportunities.
• Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Model and analytics lifecycle management leveraging MLOps technologies.
• Model/analytics experiment and development pipeline leveraging MLOps.
• Work with data engineers on data quality assessment, data cleansing and data analytics.
• Generate reports, annotated code, and other project artifacts to document, archive, and communicate your work and outcomes.
• Share and discuss findings with team members practicing SAFe Agile delivery model.

Functional Skills:

Must-Have Skills:

• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Demonstrated skill at data visualization and storytelling for an audience of stakeholders
• Strong foundation in machine learning algorithms and techniques
• Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

Good-to-Have Skills:

• Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
• Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills
• Experience with data engineering and pipeline development
• Knowledge of NLP techniques for text analysis and sentiment analysis
• Experience in analyzing time-series data for forecasting and trend analysis
• Experience with AWS, Azure, or Google Cloud
• Experience with Databricks platform for data analytics and MLOps

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

• Any AWS Developer certification (preferred)
• Any Python and ML certification (preferred)
• Any SAFe Agile certification (preferred)

Soft Skills:

• Initiative to explore alternate technology and approaches to solving problems.
• Skilled in breaking down problems, documenting problem statements, and estimating efforts.
• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals

Basic Qualifications:

• Master's degree in computer science, statistics or STEM majors with at least 3 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR
• Bachelor's degree in computer science, statistics or STEM majors with 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python).

Equal Opportunity Statement:

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 with 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 an accommodation.