MagicBricks.com - Lead Data Scientist

Would you be interested in an appropriate opportunity at Magicbricks- We are the largest portal in real estate in India. In case you are open to the same, do let me know by sharing your resume.

Roles and Responsibilities

Magicbricks.com have the richest, most diverse data of any Internet company. We have a very broad collection of practical problems where Learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation.

We are looking for top scientists capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

The primary responsibilities of this role are to:

- Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems

- Design, development and evaluation of highly innovative models for predictive learning, content ranking, and anomaly detection

- Interact with customer directly to understand the business problem, help and aid them in implementation of DL/ML algorithms to solve problems.

- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes

- Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms.

- Research and implement novel deep learning, machine learning and statistical approaches.

Basic Qualifications

PhD in Computer Science (Machine Learning or Deep Learning) preferred.

3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.

1+ year of experience specifically with deep learning (CNN, RNN, LSTM etc).

Strong working knowledge of deep learning, machine learning and statistics.

Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar.

Experience in using Python, R or Matlab or other statistical/machine learning software.

Strong communication and data presentation skills.

Preferred Qualifications

8+ years of relevant experience in industry and/or academia.

The motivation to achieve results in a fast-paced environment.

Experience with statistical modelling / machine learning.

Strong attention to detail.

Exceptional level of organization.

Comfortable working in a fast paced, highly collaborative, dynamic work environment.

Ability to think creatively and solve problems.