Role in Brief:

· Game changing problems in Data Science.

· Rapid innovation in Data Science.

· Manage highly skilled employees with technical expertise and values-driven culture

Responsibilities :
– Design, Model and Implement data architecture and well engineered machine learning data features

– Be a hands on technical leader. Spend 50% time on high-level design, analysis and data mining

– Lead teams to build large scale, highly available, fault tolerant data platform – Distributed Design, Analytics and Data Mining

– Define technical user stories, drive continuous attention to technical excellence and good model design

– Thought leadership in the marketing & sales intelligence domain, technical depth to guide product evolution, ability to prioritize the most impactful, differentiating solution for the business

– Embrace uncertainity, deep dive the business problem with product leaders,teams to design sophisticated inferences, and have mastered the art of turning data into products

– Own Vision for Information Architecture, Product Insights, Technology for all data science use cases

– Manage/Mentor teams (data scientists, developers ) & guide product, in performing research, evaluating advanced theories, developing algorithmic solutions that are still immature or unavailable in the market

– Recruit, motivate and empower data scientists & developers in information retrieval, data mining, research and distributed design




· Bachelor’s or Masters degree in Computer Science, Mathematics from any top engineering institution.

· Proven experience in handling complex big data use cases and be a strong technical leader in data mining, information retrieval.

· 10 – 14 years of Data Engineering experience in building end to end enterprise data products.

· Data stewardship to continually improve the quality of data and information including accuracy, integrity , relevance to the business.

· Diverse research experience in Data Mining, NLP, Information Extraction.

· Prior experience in Research and Development of novel state of the art Machine Learning algorithms for solving complex and diverse product use cases.

· Good to have exposure to big data technologies like Apache Spark, NoSQL databases, design of Machine Learning frameworks.

· Good to have practical experience in designing products that involve Information Extraction from unstructured text, Knowledge Graph, Graph algorithms.

Educational level:

Master Degree

Level of experience (years):

Senior (5+ years of experience)

How to apply:

Please mention NLP People as a source when applying


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About InsideView

InsideView provides a suite of software solutions for sales and marketing leaders, delivering critical intelligence directly into CRM.