Data Scientist - Forecasting and AI Model Deployment

Role Overview:

You will be a Data Scientist at Amgen, responsible for developing, designing, and deploying AI-enabled forecasting models. Your role will involve applying deep technical expertise to scale forecasting models across Research & Development, Manufacturing, and Commercial departments to meet critical needs. You will work on manipulating large datasets, writing high-quality code, adapting machine learning models, and translating technical work into understandable outputs for key stakeholders.

Key Responsibilities:

• Be an integral part of a high-performing team of data scientists and engineers focused on translating machine learning algorithms into effective forecasting solutions
• Conduct exploratory and targeted data analyses to identify patterns and anomalies
• Develop high-performance forecasting algorithms, prototypes, predictive models, and proof of concepts using cutting-edge technical tools
• Design and implement analytics pipelines following MLOps practices
• Collaborate with data engineers on data quality assessment, data cleansing, and operational data pipelines development
• Contribute ideas and methodologies to build the team and stay updated on industry and academia developments
• Communicate effectively with technical, scientific, medical, and business stakeholders at different levels
• Ensure compliance with regulatory, security, and privacy requirements related to data assets
• Share findings and insights with team members and stakeholders

Qualifications Required:

• Experience in analyzing time-series data for forecasting and trend analysis
• Proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, and Scikit-learn
• Experience in designing, evaluating, and applying supervised and unsupervised machine learning models
• Familiarity with Generative AI models and their applications in forecasting
• Understanding of modern data stack tools like Spark, Hive, cloud computing environments, and Git
• Proficiency in state-of-the-art machine learning tools, deep learning frameworks, transformer models, NLP models, and time series models
• Experience with Databricks platform for data analytics and MLOps
• Strong communication skills for presenting work clearly to a diverse audience

Additional Company Details:

Amgen is an Equal Opportunity employer that values diversity and inclusion. They provide reasonable accommodations for individuals with disabilities throughout the job application process, essential job functions, and other employment benefits and privileges. Role Overview:

You will be a Data Scientist at Amgen, responsible for developing, designing, and deploying AI-enabled forecasting models. Your role will involve applying deep technical expertise to scale forecasting models across Research & Development, Manufacturing, and Commercial departments to meet critical needs. You will work on manipulating large datasets, writing high-quality code, adapting machine learning models, and translating technical work into understandable outputs for key stakeholders.

Key Responsibilities:

• Be an integral part of a high-performing team of data scientists and engineers focused on translating machine learning algorithms into effective forecasting solutions
• Conduct exploratory and targeted data analyses to identify patterns and anomalies
• Develop high-performance forecasting algorithms, prototypes, predictive models, and proof of concepts using cutting-edge technical tools
• Design and implement analytics pipelines following MLOps practices
• Collaborate with data engineers on data quality assessment, data cleansing, and operational data pipelines development
• Contribute ideas and methodologies to build the team and stay updated on industry and academia developments
• Communicate effectively with technical, scientific, medical, and business stakeholders at different levels
• Ensure compliance with regulatory, security, and privacy requirements related to data assets
• Share findings and insights with team members and stakeholders

Qualifications Required:

• Experience in analyzing time-series data for forecasting and trend analysis
• Proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, and Scikit-learn
• Experience in designing, evaluating, and applying supervised and unsupervised machine learning models
• Familiarity with Generative AI models and their applications in forecasting
• Understanding of modern data stack tools like Spark, Hive, cloud computing environments, and Git
• Proficiency in state-of-the-art machine learning tools, deep learning frameworks, transformer models, NLP models, and time series models
• Experience with Databricks platform for data analytics and MLOps
• Strong communication skills for presenting work clearly to a diverse audience

Additional Company Details:

Amgen is an Equal Opportunity employer that values diversity and inclusion. They provide reasonable accommodations for individuals with disabilities throughout the