Data Scientist, Digital Acceleration

Amazon; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Amazon MIDAS team is seeking a data scientist to invent, build, and deploy cutting-edge machine-learning models that directly influence product decisions across Amazon's digital businesses. You will collaborate with software and data engineers to turn insights into scalable analytics and actionable outcomes.

We value strong business judgment, excellent communication, and the ability to work independently or with a team on challenging initiatives.

Qualifications

• 2+ years of data scientist experience.
• 3+ years of data querying languages (SQL) or scripting languages (Python) experience.
• 3+ years of ML/statistical modeling and data analysis tools experience.
• Experience applying theoretical models in an applied environment.
• Experience applying various ML techniques and understanding key performance parameters.
• Experience developing experimental and analytic plans for data modeling, baselines, and causal inference.

Responsibilities

• Define a long-term science vision and roadmap driven by customer needs; translate into engineering plans.
• Design and execute ML projects end-to-end: ideation, prototyping, development, metrics, monitoring.
• Drive end-to-end statistical analysis with ambiguity, scale, and complexity.
• Research and develop Generative AI-based solutions to solve diverse customer problems.

Skills

SQL

Python

Statistical modelling

Machine learning

Data analysis

Education

Bachelor's degree in a relevant field

Tools

Perl

Job description

Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses? Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?

The Amazon Digital Acceleration Analytics team is looking for an analytical and technically skilled individual to join our team. In this role, you will invent, build, and deploy state‑of‑the‑art machine‑learning models and systems to enable and enhance the team's mission.

This role offers wide scope, autonomy, and ownership. You will work closely with software engineers and data engineers to put algorithms into practice. You should have strong business judgment, excellent written and verbal communication skills, and be willing to take on challenging initiatives and work both independently and as part of a team.

Key job responsibilities

• Define a long‑term science vision and roadmap for the team, driven fundamentally from our customers' needs, translating those directions into specific plans for engineering teams.
• Design and execute machine‑learning projects/products end‑to‑end: from ideation, analysis, prototyping, development, metrics, and monitoring.
• Drive end‑to‑end statistical analysis that has a high degree of ambiguity, scale, and complexity.
• Research and develop advanced Generative AI‑based solutions to solve diverse customer problems.

About the team

The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross‑digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI‑driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission‑critical tools to drive data‑driven decisions at Amazon scale.

Basic Qualifications

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment
• Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.
• Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships.
• Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

Preferred Qualifications

• 5+ years of data scientist experience
• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.