AI/ML Job: Data Scientist - Visual Search


Data Scientist - Visual Search at ViSenze

Singapore, Singapore πŸ‡ΈπŸ‡¬   (Posted Jun 24 2018)
About the company
ViSenze is an Artificial Intelligence company providing visual search and image recognition cloud services for enterprise users from different domains, across different continents. Our technology powers visual search applications for some of the largest e-commerce and internet businesses in the world such as Rakuten, Uniqlo, ASOS, Caratlane and Zalora.

Job position

Job description
As a Data Scientist on the visual search team, you need to understand the meaning of search data and query data in the context of visual search. You will identify specific and actionable opportunities to solve existing problems in visual search, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of advanced data extraction and transformation tools (e.g Spark, python, SQL), but will need to understand the source data and be able to synthesize it down to a form suitable for answering specific product questions and machine learning modeling. You will also need to be an expert at communicating insights and recommendations to audiences of varying levels of technical sophistication. In this role, you will:

Create novel and tractable datasets from truly big data.

Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.

Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.

Analyze historical data to identify trends and support decision making.

Formalize assumptions about how visual search is expected to work, create statistical definition of outliers, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.

Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.

Provide requirements to develop analytic capabilities, platforms, and pipelines.

Skills & requirements
Basic Qualifications:

Bachelor's degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative Bachelor's or Master's degree.

At least 2 years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Stata, Matlab).

Experience designing experiments, and ability to infer causal relationships.

Preferred Qualifications:

Experience in processing, filtering, and presenting large quantities (millions to billions of rows) of data.

Able to apply deep learning techniques to practical problems in computer vision and information retrieval.

Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences

Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

Experience in e-commerce or with search engines is a plus.

Instructions how to apply
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