Senior Data Scientist, Machine Learning Job in Fractal Analytics Inc

About Fractal

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractals mission is to power every human decision in the enterprise and uses the power of AI to help the worlds most admired Fortune 500 companies. Fractals products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai to assists CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions and Eugenie.ai to find anomalies in high velocity data. Fractal has consistently been rated as Indias best companies to work for, by The Great Place to Work Institute. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave 2019 by Forrester Research, and recognized as an Honorable Vendor in 2019 magic quadrant for data & analytics by Gartner

Role Brief

As a Senior data scientist you will primarily develop machine learning solutions that will predict a customers needs/intentions in real-time at the moment of interaction, in batch prior to the event, or in batch after the event for analytical labeling/categorization. The outputs of these models will then be used to determine the optimal engagement and experience to provide to the customer.

You will partner with functional and channel stakeholders, work with domain experts, design and execute experiments on the data to achieve predefined outcomes.

In addition to model development, you may, independently or within a team, need to build solutions to support the overall project, including label generation, data schemas, ad hoc analytics, output structure/packaging, or end-to-end prototype demos. You will be responsible for presenting your own work to team members, peers, and leadership, and will build any visualizations or presentations necessary for those communications.

The Person : Qualification & Experience

• Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms, Artificial Neural Networks (CUDA, Keras, Tensorflow) or Combinatorics (Mixed Integer Programming).
• Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.
• Advanced SQL skills with Teradata, SQL Server, Hive and Spark experience.
• Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
• Six or more years of relevant work experience
• Ability to plan work and meet deadlines
• Experience with using big data to develop models.
• Experience with Spark.
• Experience presenting to and influencing functional leaders and stakeholders.
• Deep expertise in applying machine learning to solve a class of AI problems such as NLU/NLP, Reinforcement Learning, Voice Biometrics, Text Mining, and Intelligent Process Automation.