Sr. Manager Data Sciences - Forecasting
Amgen
Sr. Manager Data Sciences - Forecasting
Job Description
ABOUT AMGEN
What you will do
- Lead a high performing team of data scientists and engineers to achieve objectives while fostering a culture of collaboration and continuous learning
- Evaluate domain needs (R&D, Manufacturing, Commercial) into prioritized roadmaps; communicate technical trade-offs to stakeholders
- Oversee the development, validation, and deployment of AI enabled forecasting models
- Partner with enterprise teams to curate, clean, and transform internal and external datasets for use in forecasting models
- Certify team compliance with ethical AI practices, regulatory requirements, and data governance standards
- Ensure methodological consistency in data exploration and model building with well documented assumptions, explainability and reproducibility
- Implement best practices for MLOps for model deployment and monitoring
- Experiment with cutting edge technology such as generative AI, transformers, and other techniques to improve model metrics
- Translate forecasting outputs into business-ready insights for decision-makers in R&D, finance, and commercial functions
- Optimize cost and ROI tradeoff to deliver high impact outputs (GPU/CPU utilization, memory allocation, tech overhead)
What we expect of you
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field
- 13+ Years of relevant work experience
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus
Must-Have Skills
- Proven experience delivering large-scale forecasting solutions that drive measurable business outcomes
- At least 3 years experience of managing AI/ML teams
- Expert in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Advanced proficiency in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value
- Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecasting
- Experience with Databricks platform for data analytics and MLOps
- Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impact
- Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives
- Experience in Biotechnology or pharma industry is a big plus
- Published thought-leadership or conference talks on enterprise GenAI adoption
- Master’s degree in computer science and/or data science
- Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery
- 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
- Ability to learn quickly, be organized and detail oriented
- Strong presentation and public speaking skills
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proven experience delivering large-scale forecasting solutions that drive measurable business outcomesintermediate
- At least 3 years experience of managing AI/ML teamsintermediate
- Expert in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)intermediate
- Advanced proficiency in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business valueintermediate
- Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecastingintermediate
- Experience with Databricks platform for data analytics and MLOpsintermediate
- Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impactintermediate
- Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narrativesintermediate
- Experience in Biotechnology or pharma industry is a big plusintermediate
- Published thought-leadership or conference talks on enterprise GenAI adoptionintermediate
- Master’s degree in computer science and/or data scienceintermediate
- Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project deliveryintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Ability to learn quickly, be organized and detail orientedintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field (experience)
- 13+ Years of relevant work experience (experience)
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus (experience)
Responsibilities
- Lead a high performing team of data scientists and engineers to achieve objectives while fostering a culture of collaboration and continuous learning
- Evaluate domain needs (R&D, Manufacturing, Commercial) into prioritized roadmaps; communicate technical trade-offs to stakeholders
- Oversee the development, validation, and deployment of AI enabled forecasting models
- Partner with enterprise teams to curate, clean, and transform internal and external datasets for use in forecasting models
- Certify team compliance with ethical AI practices, regulatory requirements, and data governance standards
- Ensure methodological consistency in data exploration and model building with well documented assumptions, explainability and reproducibility
- Implement best practices for MLOps for model deployment and monitoring
- Experiment with cutting edge technology such as generative AI, transformers, and other techniques to improve model metrics
- Translate forecasting outputs into business-ready insights for decision-makers in R&D, finance, and commercial functions
- Optimize cost and ROI tradeoff to deliver high impact outputs (GPU/CPU utilization, memory allocation, tech overhead)
Tags & Categories
Sr. Manager Data Sciences - Forecasting
Amgen
Sr. Manager Data Sciences - Forecasting
Job Description
ABOUT AMGEN
What you will do
- Lead a high performing team of data scientists and engineers to achieve objectives while fostering a culture of collaboration and continuous learning
- Evaluate domain needs (R&D, Manufacturing, Commercial) into prioritized roadmaps; communicate technical trade-offs to stakeholders
- Oversee the development, validation, and deployment of AI enabled forecasting models
- Partner with enterprise teams to curate, clean, and transform internal and external datasets for use in forecasting models
- Certify team compliance with ethical AI practices, regulatory requirements, and data governance standards
- Ensure methodological consistency in data exploration and model building with well documented assumptions, explainability and reproducibility
- Implement best practices for MLOps for model deployment and monitoring
- Experiment with cutting edge technology such as generative AI, transformers, and other techniques to improve model metrics
- Translate forecasting outputs into business-ready insights for decision-makers in R&D, finance, and commercial functions
- Optimize cost and ROI tradeoff to deliver high impact outputs (GPU/CPU utilization, memory allocation, tech overhead)
What we expect of you
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field
- 13+ Years of relevant work experience
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus
Must-Have Skills
- Proven experience delivering large-scale forecasting solutions that drive measurable business outcomes
- At least 3 years experience of managing AI/ML teams
- Expert in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Advanced proficiency in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value
- Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecasting
- Experience with Databricks platform for data analytics and MLOps
- Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impact
- Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives
- Experience in Biotechnology or pharma industry is a big plus
- Published thought-leadership or conference talks on enterprise GenAI adoption
- Master’s degree in computer science and/or data science
- Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery
- 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
- Ability to learn quickly, be organized and detail oriented
- Strong presentation and public speaking skills
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proven experience delivering large-scale forecasting solutions that drive measurable business outcomesintermediate
- At least 3 years experience of managing AI/ML teamsintermediate
- Expert in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)intermediate
- Advanced proficiency in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business valueintermediate
- Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications across domains in forecastingintermediate
- Experience with Databricks platform for data analytics and MLOpsintermediate
- Proficiency in state-of-the-art machine learning tools, such as deep learning frameworks, transformer models, NLP models, time series models and Bayesian models, with demonstrated and interpretable insight and impactintermediate
- Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narrativesintermediate
- Experience in Biotechnology or pharma industry is a big plusintermediate
- Published thought-leadership or conference talks on enterprise GenAI adoptionintermediate
- Master’s degree in computer science and/or data scienceintermediate
- Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project deliveryintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Ability to learn quickly, be organized and detail orientedintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field (experience)
- 13+ Years of relevant work experience (experience)
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus (experience)
Responsibilities
- Lead a high performing team of data scientists and engineers to achieve objectives while fostering a culture of collaboration and continuous learning
- Evaluate domain needs (R&D, Manufacturing, Commercial) into prioritized roadmaps; communicate technical trade-offs to stakeholders
- Oversee the development, validation, and deployment of AI enabled forecasting models
- Partner with enterprise teams to curate, clean, and transform internal and external datasets for use in forecasting models
- Certify team compliance with ethical AI practices, regulatory requirements, and data governance standards
- Ensure methodological consistency in data exploration and model building with well documented assumptions, explainability and reproducibility
- Implement best practices for MLOps for model deployment and monitoring
- Experiment with cutting edge technology such as generative AI, transformers, and other techniques to improve model metrics
- Translate forecasting outputs into business-ready insights for decision-makers in R&D, finance, and commercial functions
- Optimize cost and ROI tradeoff to deliver high impact outputs (GPU/CPU utilization, memory allocation, tech overhead)
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