Associate Data Scientist

Amgen; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Amgen is seeking a Data Scientist, Forecasting to enhance forecasting capabilities through statistical and machine learning models. The ideal candidate will work cross-functionally to build decision-support solutions, leveraging complex datasets and analytical tools.

Responsibilities include developing forecasting models and analyzing data insights to inform business decisions. A background in data science, analytics, and strong skills in Python and SQL are required. Join Amgen to contribute to its mission of serving patients everywhere.

Qualifications

• 2+ years of experience in data science or analytics.
• Experience with time-series forecasting and predictive modeling.
• Strong analytical skills with a foundation in statistics.

Responsibilities

• Develop and refine statistical and machine learning models for forecasting.
• Analyze complex datasets to extract actionable insights.
• Collaborate across teams and communicate results to stakeholders.

Skills

Data science

Statistical modeling

Machine learning

Python

SQL

Forecasting

Tools

scikit-learn

PyMC

PyTorch

TensorFlow

Job description

About The Role

We are seeking a Data Scientist, Forecasting to join the Forecasting team within the AI & Data organization. This role will support the development of statistical, Bayesian, causal, and machine learning models that enhance forecasting capabilities and quantify uncertainty to guide decision-making across the company. This role will work cross-functionally to help build forecasting solutions that support critical business processes and contribute to Amgen’s “every patient, every time” mandate. The position is well suited to a curious and collaborative problem solver who is excited about applying forecasting methods, complex datasets, and modern analytical tools to build decision-support solutions that inform planning and business decision-making.

Key Responsibilities

• Develop and refine statistical, Bayesian, and machine learning models to support demand forecasting across near-, medium-, and long-term planning horizons.


• Analyze large, complex datasets using statistical modeling, forecasting, and analytics techniques to generate insights that support business decision-making.


• Support the development of simulation and scenario-analysis capabilities to better understand dynamics among patients, payers, providers, and market conditions.


• Contribute across the modeling lifecycle, including business problem framing, exploratory data analysis, feature engineering, model development, validation, deployment support, monitoring, and explainability.


• Collaborate with senior team members to evaluate and apply new tools and methodologies in forecasting, data science, and AI to business problems.


• Communicate analytical findings and model results clearly to technical and non-technical stakeholders.

Basic Qualifications

• 2+ years of experience applying data science, analytics, or statistical modeling in industry, research, or enterprise environments.


• Experience with time-series forecasting, predictive modeling, or related quantitative methods.


• Proficiency in Python and SQL, with experience using tools such as scikit-learn, PyMC, PyTorch, TensorFlow, or similar data science libraries.


• Solid analytical and statistical foundation, with the ability to work with messy and complex datasets to generate actionable insights.


• Familiarity with model development workflows, including data preparation, feature engineering, evaluation, and interpretation.


• Strong communication skills, with the ability to explain technical concepts and results to a range of stakeholders.


• Strong collaboration skills and ability to work effectively in cross-functional environments.


• Intellectual curiosity and a willingness to learn, take on ambiguous problems, and grow in a fast-paced environment.

Preferred Qualifications

• Experience applying machine learning, statistical modeling, or decision science methods in retail, consumer goods, supply chain, manufacturing, or similar settings.


• Exposure to causal inference, probabilistic modeling, or scenario analysis is a plus.

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.