Data Scientist - Machine Learning
First seen by Alion on Nov 5, 2026.
Function:
Data Science & Analytics - Data Science / Machine Learning
Skills:
CatBoost, LightGBM, PyTorch, Python, SQL, Scikit-learn, XGBoost
Requirements:
- 1 - 5 years in data science, ML or applied AI, including at least one model moved beyond a proof of concept.
- Strong foundations: Python, SQL, pandas, NumPy, scikit-learn, statistics, feature engineering, imbalanced learning and model evaluation.
- Modern model toolkit: XGBoost, LightGBM or CatBoost, plus PyTorch or TensorFlow for relevant deep-learning, NLP or computer-vision use cases.
- Production mindset: Comfort with APIs or batch services, testing, Git, Docker and cloud/MLOps fundamentals; AWS/SageMaker, MLflow or Spark is a plus.
- Clear thinking: You can explain assumptions, trade-offs and limitations simply, and collaborate well with domain experts, product managers and engineers.
What will make you stand out:
- End-to-end proof: A model you personally moved from problem framing and validation into a real pilot or production workflow.
- Experimental rigour: A clear explanation of baselines, leakage prevention, metric choice, threshold trade-offs and segment-level error analysis.
- Ownership under ambiguity: Examples of turning an unclear business ask into a measurable ML problem and influencing stakeholders with evidence.
About Amazon:
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1". What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
Why Explore a Career at Amazon:
Amazon's evolution from website to e-commerce partner to development platform is driven by the spirit of innovation that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun.
We are proud to have some of the finest talent and strong leaders with proven experience working to make Amazon the Earth's most customer-centric company.
Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions.
Join us in this revolution!
Work hard. Have fun. Make history.
Skills
Data Science, Machine Learning, Python, SQL, PyTorch