Data Scientist, Amazon

4 months ago


Bengaluru Karnataka, India ADCI - Karnataka Full time

Master/Bachelor degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- Experience with data scripting languages (e.g Python, R, Ruby etc.) or statistical/mathematical software (e.g. R, SAS, or Cloud-ML tools).
- Demonstrated use of modeling and optimization techniques tailored to meet business needs
- Hands-on experience and advanced knowledge of SQL
- Experience with one or more big data technologies (Hadoop, Hive, Hbase, Spark etc.)
- Able to operate autonomously in scoping, executing, and delivering projects with Effective analytical, troubleshooting, and problem-solving skills
- A desire to work in a collaborative, intellectually curious environment.

Amazon’s Consumer Payments organization is seeking a highly quantitative, experienced Data Scientist to drive the development of science analytics and insights capabilities. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses.
Our team is a brand-new Analytics team, offering a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused developing analytical solutions for our customers (Product/Marketing/Finance/Operations team). The position is based in India but will interact with global leaders and teams in Europe, Japan, US, and other regions. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred.

Key job responsibilities
- Working with technical and non-technical stakeholders across every step of science project life cycle.
- Design, develop, implement, test forecasting solutions for planning and goal setting exercises across various payment products and programs across CP organization.
- Identifying real-time anomalies and early-detection mechanisms.
- Collaborate with Analysts, Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning.
- Work with product tech teams, BIE/DE and build robust and scalable science solutions integration with in house reporting/BI tools using SQL, Python and Spark.
- Leading training and informational sessions on our science and capabilities.
- Write, share and present documents summarizing your findings and recommendations to all levels of organization.
- Well versed in the relevant literature and have the ability to identify, analyze, and adapt new state-of-the-art methods as well as beyond to create new problem-solution pairs to build breakthroughs.
- Communicate effectively with product/business/tech-teams/other science teams.

Bengaluru, KA, IND
- A PhD/Masters in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
- Functional knowledge of AWS platforms such as S3, Glue, Athena, SageMaker
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Ability to develop practical solutions to complex problems informed by the state of the art and with limited guidance.



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