Senior Data Scientist Job in Info Edge (india) Ltd

About Info Edge

Info Edge is an Indian multinational pure play internet product company, based in Noida, UP. It was founded by Sanjeev Bikhchandani in 1995. The company owns and runs an online job portal Naukri.com, a matrimony website Jeevansathi.com, a real estate classifieds platform 99Acres.com and an educational website Shiksha.com and other products like DoSelect, Zwayam, Naukrigulf.com, BigShyft.com, iimjobs.com, Hirist.com, Firstnaukri.com, AmbitionBox.com, and JobHai.com.

As of September 2020, Info Edge Venture Fund also holds minority stakes in 23 online companies including two unicorns the food delivery company Zomato (18.4% stake, as of February 2021) and the insurance aggregator PolicyBazaar (15.1% stake, as of August 2020).

Title: Senior Data Scientist

Desired Experience: 3 - 6 Years

Required Educational Qualification: PhD/ M.Tech / B.Tech with relevant experience

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

Job Description:

As Senior Data Scientist, you will:

• 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.

Desired Skills: NA

Why Join us:

At InfoEdge, we take extra care to make sure you give your best at work, Everyday and creating the right environment for you is just one of the things we do.

We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at InfoEdge.

A VIDEO - Inside the InfoEdge corporate office | https://www.youtube.com/watch?v=3qv_TwQDvZg

If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!