Data Scientist II

Job title: Data Scientist II

Company: Amazon

Job description: Hundreds of millions of customers, billions of transactions, petabytes of data How to use the world s richest collection of e-commerce and device usage data to acquire new customers, target existing customers, and predict customer behavior Amazon s Consumer Behavior Analytics team seeks a Data Scientist for building analytical solutions that will address increasingly complex business questions. has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.
As a Data Scientist in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management 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.
Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management
Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
Innovate by adapting new modeling techniques and procedures
You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive
You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems
You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training
Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers, PHD with 1 year experience or Masters with three years of experience or a Bachelors with five years of experience.
Experience in SQL, R, Python, or another scripting language; command line usage; experience in Java (preferable)
Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
Knowledge of various machine learning techniques and key parameters that affect their performance
Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
Excellent written and verbal communication skills for both technical and non-technical audiences Experience in creating data driven visualizations to describe an end-to-end system
Previous experience in a ML or data scientist role with a large technology company
Previous experience of building and implementing scalable ML solutions that added value to business

Other details

Expected salary:

Location: Bangalore, Karnataka

Job date: Sat, 21 Nov 2020 08:59:49 GMT

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