Principal Data Scientist
Company: Amgen
Location: Hyderabad, India
Department: AI & Data – Forecasting
Job Type: Full-Time
Work Mode: On-Site
JOB OVERVIEW
The Principal Data Scientist is responsible for leading the development of advanced forecasting, statistical, Bayesian, causal inference, and machine learning models to support strategic decision-making across the organization. The role focuses on building scalable forecasting platforms, analyzing complex healthcare and commercial datasets, developing predictive models, enabling scenario planning, collaborating with cross-functional teams, and mentoring data science professionals to drive innovation and operational excellence.
KEY RESPONSIBILITIES
Forecasting & Predictive Modeling
Develop advanced statistical and machine learning forecasting models.
Build demand forecasting solutions across short-, medium-, and long-term horizons.
Design Bayesian and probabilistic forecasting models.
Develop predictive analytics for business planning.
Improve forecasting accuracy and uncertainty estimation.
Data Science & Analytics
Analyze large, high-dimensional datasets.
Apply statistical modeling and causal inference techniques.
Perform feature engineering and exploratory data analysis.
Generate actionable business insights from complex data.
Support evidence-based strategic decision-making.
Machine Learning Development
Design and deploy machine learning models.
Develop scalable AI-driven forecasting solutions.
Build predictive and classification models.
Evaluate model performance and optimize algorithms.
Monitor production models and improve model explainability.
Simulation & Scenario Planning
Develop simulation models for business planning.
Build scenario evaluation frameworks.
Analyze patient, payer, and provider dynamics.
Support risk-adjusted forecasting strategies.
Enable data-driven decision support.
Forecasting Platform Development
Architect self-service forecasting tools.
Develop scalable forecasting platforms.
Automate forecasting workflows.
Improve forecasting infrastructure and usability.
Enable near real-time business predictions.
Cross-Functional Collaboration
Partner with Commercial, Supply Chain, Manufacturing, Finance, and Technology teams.
Collaborate with business stakeholders to define forecasting requirements.
Integrate forecasting solutions into enterprise workflows.
Communicate technical findings to executive leadership.
Support strategic business initiatives through analytics.
Innovation & Technology
Research emerging AI, forecasting, and data science technologies.
Evaluate new statistical methodologies.
Implement automation and advanced analytics solutions.
Promote innovation across forecasting practices.
Drive adoption of modern data science technologies.
Leadership & Mentorship
Mentor and coach junior Data Scientists.
Establish forecasting best practices.
Lead technical discussions and data science initiatives.
Promote knowledge sharing and capability development.
Drive continuous improvement across the Data Science organization.
EDUCATIONAL QUALIFICATIONS
Required
Bachelor's Degree in:
Data Science
Statistics
Mathematics
Computer Science
Artificial Intelligence
Machine Learning
Engineering
Or a related quantitative discipline
Preferred
Master's Degree or Ph.D. in:
Statistics
Data Science
Computer Science
Artificial Intelligence
Machine Learning
Applied Mathematics
Operations Research
Or a related quantitative field
EXPERIENCE REQUIREMENTS
Required
Minimum 12 years of experience in:
Data Science
Machine Learning
Predictive Analytics
Statistical Modeling
Enterprise Data Science
Uttar Pradesh :
Agra | Gajraula | Gautam buddha Nagar | Ghaziabad | Gorakhpur | Greater Noida | Jhansi | kanpur | Lucknow | Mathura | Noida | Park City | Prayagraj | Satyamev | Varanasi |Gujarat :
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Remote, India | Siliguri |Illinois :
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