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Job Location: Bangalore
- Bachelor’s degree in any quantitative discipline such as Statistics, Computer Sciences, Quantitative Finance or Operations Research with 6+ years of work experience
- Experience/knowledge of machine learning techniques such as GBM, random forest, etc.
- Knowledge and expertise with Data modelling skills, SQL with Oracle, MySQL, and Columnar Databases
- Experience in statistical techniques such as classification, clustering, regression, statistical inference etc.
- Experience in statistical/mathematical software (e.g. R, SAS, or Matlab)
- Proficiency with data scripting languages (e.g. Python and SQL)
- Experience with relational data sets, data warehouses, data mining and data analysis techniques
Job summary
Do you want to take the best e-commerce platform in the world to the next level ? Work on latest Amazon (AWS) technologies to build software that scales for millions of users ? The Promotions Platform team in Amazon owns point of sale promotions for all of Amazon customers. Every day we solve exciting problems that range from the front-end user experience to backend to data storage and analysis. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. We are looking for a Data Scientist to join the Amazon Promotions Platform team to help us to continue to scale Worldwide.
As a Data Scientist in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the business team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.
The ideal candidate is an experienced and motivated Data Scientist (DS) with outstanding leadership skills, proven ability to build and manage Large-scale modeling projects, identify data requirements, and build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution. The successful Data Scientist will have the extreme bias for action needed in a startup environment.
Key job responsibilities
- Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions
- Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time
- Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping
- Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
- Develop efficient data querying infrastructure for both offline and online use cases
- Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
- Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
- Provide mentorship and technical guidance to Data Scientists on the team
- Detail oriented and an aptitude for solving unstructured problems
- Ability to work effectively in a multi-task, high volume environment
- Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
- Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization.
- Proficiency with TABLEAU/R Shiny/Dash or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc.
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