Zycus - Director - Data Scientist - Machine Learning/Deep Learning (14-20 Yrs) Bangalore (Systems/Product Software)

DESCRIPTION : About Zycus : Headquartered in Princeton, U.S. in 1998, Zycus has grown every day to be established as an organization which now is a leading global provider of complete Source-to-Pay suite of procurement performance solutions. We develop cloud-based (SaaS) Source-to-Pay solutions for large global enterprises, and have successfully deployed about 200 solutions to over 1000 Global clients. We are proud to have as our clients, some of the best-of- breed companies across verticals like Manufacturing, Automotives, Banking and Finance, Oil and Gas, Food Processing, Electronics, Telecommunications, Chemicals, Health and Pharma, Education and more. With a team of 1000employees, we are present in India with 3 development centers at Bengaluru, Mumbai & Pune and offices in the U.S., U.K., Australia, Dubai, Netherlands and Singapore. Know more about the LEADER of: Gartners 2013, 2015 & 2017 Magic Quadrant for Strategic Sourcing Application Suites and The Forrester Wave : eProcurement, Q2 2017 We are in process of launching Merlin A.I. Studio .
-The artificial intelligence (AI)-based platform will allow procurement teams to to build and deploy bots across the source-to-pay process.
-The bots will be used by firms leveraging more than 1,100 APIs from Zycus- solution suite.
-By deploying the intelligent bots from Merlin A.I. Studio-, procurement can put themselves in cruise control mode as the bots work towards accomplishing tasks with zero human intervention,- The Fortune 500-serving firm explained in its press release - Be it running an RFI event, discovering contract risks, negotiating with suppliers or transnational procurement; all one needs to do is launch the bot and see the magic unfold.- - It will empower procurement to transform their routine, repetitive & mundane procurement tasks, so that time, effort & resources can be optimized towards more strategic initiatives. REQUIREMENTS : We are especially looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.
-If you are passionate about research and developing innovative technologies of interest to Zycus and the research community at large, the BigData Experience Lab may be the right place for you.
-All successful candidates are expected to dive deep into problem areas of Zycuss interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage Zycus Skills : - Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
-Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc {{depending on specific project requirements}}. Excellence in at least one of these is highly desirable - Great communication skills - Experience with data visualisation tools, such as D3.js, GGplot, etc.
-Good applied statistics skills, such as distributions, statistical testing, regression, etc.
-Data-oriented personality - Experience in predictive modelling and analysis, predictive software development - Strong Problem-solving ability - Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications - Strong communication and data presentation skills - Classification (logistic regression, svm, decision tree, random forest, neural network) - Regression (linear regression, decision tree, random forest, neural network) - Classical optimisation (gradient descent, newton rapshon, etc) - Graph theory (network analytics) - Heuristic optimisation (genetic algorithm, swarm theory) - Deep leaning (lstm, convolutional nn, recurrent nn) Director - Data Scientist will report in to Vice President Engineering & the roles & responsibilities are as below : - Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics - Work with senior leaders from all functions to explore opportunities for using advance analytics - Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals - Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies - Guide the work of other Machine learning team members to provi...

Required Skills : English