Job Summary
5 - 8 years
• Software Engineer,
• Computer Programmers, Other,
Data Entry Machine Operator,
• Computer Programmer
Last Date to Apply
21 Mar 2021
Data Scientist
Posted on: 20 Jan 2021
Job Description

Job Description :
You are self-motivated. You think like an entrepreneur, constantly innovating and driving positive change, but more importantly, you consistently deliver mind-boggling results. A role at Zappos is an opportunity to be a part of something different. To go bold. Were a company that isnt afraid to take risks and question the status quo. Oh yeah, we like to have fun too. This position offers exceptional opportunities for every candidate to grow their technical and non-technical skills. If you are selected, you have the opportunity to really make a difference to our business by inventing, enhancing and building world class systems, delivering results, working on exciting and challenging projects.
Zappos Digital customer experience team seeks an experienced and motivated data Scientist with outstanding leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideation and working from concept through to execution. This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast/buying systems errors & changes, and present findings to business partners to drive improvements.
A qualified candidate must have demonstrated ability to manage medium-scale modeling projects, identify requirements and build methodology and tools that are statistically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. In addition to the modeling and technical skills, possess strong written and verbal communication skills, strong focus on customers and professional demeanor and high intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as changes arise.
Additional responsibilities may include:
Research machine learning algorithms and implement by tailoring to particular business needs and tested on large datasets.
Manipulating/mining data from database tables (Redshift, Oracle, data Warehouse)
Create automated metrics using complex databases
Providing analytical network support to improve quality and standard work results
Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
Foster culture of continuous engineering improvement through mentoring, feedback, and metrics

Basic Qualifications :
Bachelor's or Masters degree in Statistics, Applied Math, Operations Research, Economics, Engineering or a related quantitative field with 5 years of working experience as a data Scientist.
In-depth knowledge on supervised and unsupervised machine learning algorithms including classification, clustering, and regression.
Experience building productions systems with statistical analysis, data modeling, regression modeling and forecasting, time series analysis, and deep learning neural networks.
Expertise in coding using one or more programming languages such as R, Python, MATLAB, and Spark to build machine learning models. Skilled in manipulating and processing data using libraries such as Scikit-learn, Pandas, and NumPy. Demonstrated experience in SQL and/or NoSQL data modeling.
Experience processing, filtering, and presenting large quantities of data. Ability to design for performance, scalability, and availability.
Excellent communication, analytical and problem-solving skills. Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
Obsession with quality, operational excellence, and customer experience. Ability to convey rigorous mathematical concepts and considerations to non-experts.
Preferred Qualifications :
Passion to dive deep to resolve problems at their root, looking for failure patterns amenable to long-term solutions via simplification and automation.
Experience in AWS is a huge plus. Functional knowledge of AWS platforms such as Sagemaker, S3, Glue, Dynamodb, and RedShift.
Deep understanding of data, application, server, and network security.
Experience working in a fast-paced, high tech environment (preferably software development) - Experience working in or with a complex international supply chain management organization
Demonstrated experience incubating and commercializing new ideas, working closely with product managers, research scientists and technical teams from concept generation through implementation

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