Sr Data Scientist

Amgen Inc; Hyderabad; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Amgen Inc in Hyderabad is seeking a Senior Data Scientist, Forecasting to enhance business decision-making through advanced statistical methods and machine learning models. This role is ideal for a creative problem solver eager to apply innovative forecasting techniques with complex data sources.

With 8+ years of experience, the candidate will develop forecasting solutions and collaborate cross-functionally to ensure integration into key business processes, supporting Amgen's mission of delivering to every patient, every time.

Qualifications

• 8+ years of experience applying data science in enterprise environments.
• Demonstrated expertise in time-series forecasts and Bayesian modeling.
• Strong understanding of Python, SQL, and various data science libraries.

Responsibilities

• Develop advanced statistical and machine learning models for forecasting.
• Work with large datasets to generate insights for decision-making.
• Collaborate with teams across Commercial, Operation, Finance, and Technology.

Skills

Time-series forecasts

Probabilistic programming

Bayesian modeling

Python

SQL

Machine learning

Statistical modeling

Data analysis

Tools

scikit-learn

PyMC

PyTorch

TensorFlow

Job description

ABOUT THE ROLE

We are seeking a Senior Data Scientist, Forecasting to join the Forecasting team, within the AI Data organization. This role will develop advanced statistical, Bayesian, causal, and machine learning models that improve forecasting capabilities and quantify uncertainty to guide strategic decision-making across the company.

This senior member of the team will work cross-functionally to build forecasting solutions that support critical business processes and help Amgen deliver on its every patient, every time mandate. The role is particularly well suited to a creative problem solver who is excited about applying state-of-the-art forecasting methods, complex high-dimensional data sources, and modern analytical tooling to build decision-support solutions that inform multi-horizon planning and business decision-making.

Key Responsibilities

• Develop advanced statistical, Bayesian, and machine learning models to forecast demand across multiple horizons, including near-, medium-, and long-term planning horizons.
• Work with large, complex datasets, leveraging state-of-the-art techniques in statistical modeling, causal inference, and analytics to generate insights that support strategic decision-making across the business
• Develop simulation and scenario-analysis capabilities to better understand the complex dynamics among patients, payers, providers, and market conditions
• Execute across the end-to-end modeling lifecycle, including scoping, prototyping, data analysis, feature engineering, model development, deployment and monitoring as well as explainability.
• Collaborate with cross functional teams in Commercial, Operation, Finance and Technology to ensure forecasts are well integrated into critical business workflows
• Research and evaluate emerging tools and methodologies in forecasting, data science and AI for potential application to business probelms

Basic Qualifications

• 8+ years of experience applying data science in enterprise environments with demonstrated track record of delivering business value
• Expertise in time-series forecasts, probabilistic programming, Bayesian and predictive modeling
• Strong understanding of Python, SQL and tools such as scikit-learn, PyMC, Pytorch, Tensorflow and other data science libraries.
• Strong analytical and statistical intuition with ability to generate novel insights from messy, complex datasets via techniques such as latent variable modeling, high dimensional clustering, causal inference and quasi experimental methods
• Strong communication and story-telling skills, with demonstrated ability to translate technical concepts to non-technical stakeholders.
• Strong collaboration skills and ability to work effectively cross functionally
• An intellectually curious self-starter who can take ambiguous problems and build solutions from the ground up

Preferred Qualifications

• Experience building and developing forecasting models for biotech/pharma use cases with knowledge of healthcare commercial concepts such as payer/provider dynamics, formulary access, and coverage.
• Experience leveraging machine learning, statistical modeling, and decision science methods in retail, consumer goods, supply chain or manufacturing applications

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.