Info Edge - Senior Data Scientist

About Info Edge (Naukri.com, Jeevansathi.com, Shiksha.com & 99Acres.com)

InfoEdge's mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers.

At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent.

About BU: Corporate Function

Required Educational Qualification: PhD/ MTech / BTech with relevant experience from Tier 1 Campus

Job Objective: As Senior Data Scientist you will be building innovative Machine Learning solutions for vital and complex business problems.

Job Description:

- Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images.

- Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information.

- Identify potential data-driven machine learning solutions to business challenges that improve user experience through personalization and prediction of user preferences.

- Design solutions for scalable and real-time performance on a significantly large data set. - Use big data technologies to optimally use infrastructure and improve performance

- Ideate, formulate, create metrics and execute on such problems and get buy in from business.

- Identify cross-application reuse opportunities to optimise the time and infrastructure costs of deployments.

- Work closely with product and tech teams to define a new project and identify dependencies ahead of time and work with teams to ensure smooth delivery across teams.

- Identify the most appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommender systems and information retrieval solutions.

- Act as thought leader SME within the organisation and industry, represent organisation on various platforms, publish research papers / blogs.

Required Skills:

- Very strong fundamental understanding and research experience in Machine Learning / Deep Learning / NLP / Information Retrieval / Artificial Intelligence areas

- Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised,unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning.

- Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems

- An excellent problem solving skills with a research oriented approach.

- Ability to capture, manage, create pipelines and process Big Data

- Ability to work with and influence multiple stakeholders and deliver solutions in a given time frame.

Why Join us:

This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast-paced environment and are ready to enhance their skills by learning something new. Being a part of the Info Edge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing.

To learn more about Info Edge visit http://www.infoedge.in/