Analytics Manager- Advanced Analytics ( Python, Scala, scikit-learn, Keras, TensorFlow Spark, MLlib )
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Job Overview

Location
Bengaluru, Karnataka
Job Type
Full Time
Date Posted
1 year ago

Additional Details

Job ID
800
Job Views
184
Work from home ?
No
Educational Qualification
Graduation
Educational Major / Department
Bachelor or above in Computer/Electrical Engineering, Mathematics, Economics or in a quantitative field with over 6+ years of experience

Job Description

About the Company


At Navi, our mission is to build financial services that are simple, accessible and affordable. Navi is a company founded by Sachin Bansal (Co-Founder of Flipkart) & Ankit Agarwal to build consumer-centric & technology driven businesses in the BFSI (Banking, Financial Services & Insurance) space.


Analytics @ Navi

Navi Analytics is a central function working closely with product, business functions,and CEO office to create data processes as the key differentiator for the company.

We believe in – Creating impact to the business.

Be the owner of data (quality, accessibility, usability) for the company Improve speed of decisions through data transformation and access, Improve the quality of decisions with right visibility into business, Solve complex problems using advanced analytics functions.

Create Drive culture of learning through experimentation


Desired Candidate Profile

Bachelor or above in Computer/Electrical Engineering, Mathematics, Economics or in a quantitative field with over 6+ years of experience

Be able to work with stakeholders to identify problems that the team can take up and lead the whole charter

Strong programming skill (preferably in Python, Scala, etc) with a mindset of writing clean and modular code

Sound understanding of modern Machine learnings (Supervised, Semi-Supervised and Unsupervised) and the mathematical underpinnings, and experienced in using different machine learning framework (sci-kit-learn, Keras, TF Spark, MLlib etc)

Exposure and interest in causal inference and explainable ML models (not mandatory)

Detail-oriented and efficient time manager in a dynamic working environment

Self-motivated, independent learner, and willing to share knowledge with team members

Common problem statement would be around customer propensity models, volume projection, incentive structure design, factor attribution models, experiment measurement framework, route planning

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