Epsilon - Manager/Senior Manager - Data Science/Machine Learning

MANAGER / SR. MANAGER DATA SCIENCE,

Job Description

WHO WE ARE

We see what other agencies don't, and we do what other agencies cant

We know when someone is about to buy a car before their spouse does. And that they are on their mobile device and close to the dealership. And that they are pre-approved. And we know 50,000 other people just like them. So why just blast out marketing and hope it works, when we've already laid the groundwork for success- Our data-driven creative targets with pinpoint accuracy to deliver exactly what brands need - Growth.

Our associates bring passion and energy to the workplace, always show a - get things done- attitude and never settle for - good enough-. When you join our team, you become part of an open and exciting work environment. Our people are thoughtful, collaborative, innovative and creative. The atmosphere is productive, energetic and most importantly, friendly. At Epsilon, you can work with the best in the industry, in the best possible way.

Our creative associates work with all aspects of our business to generate innovative solutions that enable brands to create dynamic, meaningful direct-to-customer connections. Were a company who loves data and have a creative team who loves contributing to the bottom line. We recruit people who have both the skills and natural talent to produce original, groundbreaking creative ideas, execute them flawlessly, win awards, delight clients and above all create messages that generate serious results for the brands we serve.

JOB DESCRIPTION

- We are currently on the lookout for a smart, highly driven data scientist. You will be part of a team that is focused on innovation and bringing the latest Machine / Deep Learning approaches in Computer Vision, NLP, Voice, Audio, and Video to engage with our consumer in a smarter way.

- The incumbent will be responsible for driving all innovation projects for the agency. She / He will also be expected to drive thought leadership for developing new products/solutions that will help redefine Epsilon Agency as a leader in Marketing Technology. She / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, - startup- environment within a larger company

- At Epsilon agency, we use everything a data scientist loves like GIT, Python, Java, Amazon deep Learning AMI- s, deep and shallow learning, supervised/ unsupervised/ self-supervised approaches. We have access to both unstructured and proprietary structured data that covers close to 100% of the U.S consumer base.

RESPONSIBILITIES :

- Design innovative use-cases for Computer Vision / NLP in the Marketing domain.

- Develop custom deep learning based models for image classification, object detection, logo detection and generative art

- Use available computer vision APIs and pre-trained models innovatively to solve business problems

- Build efficient deep learning workflows using Open Source Tools like Tensorflow

- Stay on top of the latest developments in the A.I space to drive innovation

- Identify creative approaches / external data to solve business problems

- Leverage open-source solutions for rapid prototyping

TECHNICAL SKILLS

- Adept at using deep learning frameworks like Tensorflow, Theano, Keras, Pytorch etc.

- Experience in developing chat-bots and building intent classifiers

- Experience in building deep learning models for Text Analysis using CNNs/RNNs

- Knowledge of NLP frameworks like open NLP, Wake, Mallet, NLP packages within Python

- Experience in using OpenCV / Scikit-Image for custom feature extraction from images

- Working knowledge of image annotation, image transformation, and feature identification

- Experience in building deep learning models for Image Analysis using CNN's/RNNs

- Proficient in Python, Java and C++

BACKGROUND

- Overall experience of 8-12 years in data science

- Minimum 1 - 2 year's hands-on experience in building deep learning models

- Extensive knowledge of machine learning techniques and workings of the underlying algorithm

- Master's degree in a quantitative discipline (Statistics/ Mathematics/ Computer Science)

- Experience not a constraint for exceptional candidates