Amazon

Data Scientist, Amazon Ad Sales Analytics (DIGI)

Posted On

Feb. 17, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

March 10, 2026

Job Description

Amazon is looking for a motivated individual with strong statistical, analytical skills and technological experience to join the DIGI (Data Infrastructure and Generative Intelligence) Ad Sales Finance analytics team. In this position the successful candidate will be responsible for partnering with Finance and Business leaders to optimize Sales Forecasts

Key job responsibilities
- Build and train models to support forecasting and planning for Advertising Sales Finance
- Have strong technical experience, but also be able to work with non-tech partners and communicate complex and technical topics in a simple and understandable fashion
- Have a good understanding of machine learning or statistical modeling techniques, including a strong understanding of model parameters and how they affect performance
- Understand time-series forecasting techniques (e.g., STL decomposition, ETS/Holt-Winters, ARIMA, Prophet, or similar models)
- Familiarity with hierarchical or segmented forecasting problems (e.g., product, region, channel, or customer-level splits)
- Apply theoretical or statistical models in an applied, real-world environment
- Perform model evaluation such as confidence intervals, error metrics, backtesting, and validation datasets
- Work with large, complex datasets across multiple dimensions
- Translate analytical findings into clear, actionable insights for business stakeholders

A day in the life
In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize forecasting models that supports weekly, monthly, quarterly and annual reviews for the Display Ads Finance group and our stakeholders.

About the team
The Advertising Sales Finance Analytics & FP&A team's responsibilities comprise of corporate reporting, planning, Headcount & OpEx, Goals reporting, and ad-hoc analysis. We support Advertising leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of Advertising.- 5+ years of data scientist experience
- 5+ 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
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment

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