Principal Data Scientist Job in Zycus

Description

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Roles & Responsibilities:

• 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 provide support and assistance, while also ensuring quality

Requirements

Skills:

• Experience in predictive modelling and predictive software development
• Skilled at Java, C++, Perl/Python (or similar scripting languages)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic Optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Total experience: 14+ years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Programming expertise on Python or R
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Strong problem-solving skills
• Fluency with databases

Benefits

Five Reasons Why You Should Join Zycus

About Us

Zycus is a leading global provider of A.I. powered Source-to-Pay suite for procurement, finance, and AP organizations. Our comprehensive product portfolio includes eProcurement, eInvoicing, Spend Analysis, eSourcing, Contract Management, Supplier Management, Financial Savings Management, Project Management, Request Management, Supplier Network, Insight Studio, and Merlin A.I. Suite with intelligent BOTs. Our spirit of innovation and passion to help organizations create greater business impact is reflected among the hundreds of procurement solution deployments that we have undertaken over the years.