Head - Analytics - Data Sciences - Fashion/Lifestyle

Discipline : Banking

Subsector : Analytics

Location : Bangalore

About our Client:

Our client is India's largest online store for fashion and lifestyle products and they are looking for a senior analytics professional to head up their Analytics setup based out of Bangalore.

Job Description:

Heading the Analytics function, you would be responsible for:

- Developing Algorithms and Models in the Big Data environments

- Developing Solutions and Executing Analytical projects using Machine Learning/Text Mining algorithm and methodologies.

- Ensuring Team Building and Capability Development for Big Data Analytics

- Becoming Subject Matter Experts in machine learning & algorithm designing.

- Defining direction, identifying and procuring skills required to deliver the Engagement satisfactorily.

- Developing thought leadership in solution design and delivery.

- Delivering projects within budget and time by involving in the projects as a technology specialist

- Will support business to drive stronger data driven decision making

- Would be responsible to build complex algorithms that drive better online personalization and search

The Successful Candidate:

As a successful candidate you should have:

- Hands on experience in Analytics - deriving key business impact from data and in creating algorithms, implementing a solution based on analysis.

- Prior practical experience in techniques like SVM, Predictive modeling, Self learning systems

- Expertise in working with data platforms including large scale data:

- SQL, Hadoop, PL/SQL, Pig, Hive

- Technical expertise in working with a language of your choice:

- Perl, Python, Java, Ruby.

- Good business and communication skills with an ability to validate and scientifically prove hypotheses for a given business problem

- Prior experience in a product organization building data products is a plus

- A domain background in eCommerce will be a plus

What's on Offer:

- Excellent opportunity for senior level candidates with experience in Analytics, Machine Learning and background in Computer Sciences (having worked on open source languages).

- Candidates with the right attitude and experience will be offered a highly competitive package

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