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22/02 Pushpanjali K
Business Manager at Ally-eXecutive

Views:1698 Applications:28 Rec. Actions:Recruiter Actions:27

Data Scientist - Intellectual Property Data (6-10 yrs)

Bangalore Job Code: 667842

We are looking for brilliant data engineers to join our data science team in synthesizing and leveraging massive datasets of Intellectual Property data to enhance portfolio development outcomes & value exploration.

This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals destined to change the face of IP industry. You will be focused on the company's agenda and lead the high-impact projects utilizing big data analytics, AI and machine learning to improve IP Prosecution & Value analysis.

Required Qualifications & Experience:

- BE/BTech in engineering with experience in building multi-tier analytics solutions using python / Java

- 6 - 10 years of experience in Programming & working in a Data intensive environment

Core Competencies & Required Skill Sets

- Deep understanding of statistical and predictive modelling concepts, AI & machine-learning approaches, clustering, classification techniques, and recommendation & optimization algorithms.

- Expertise in Developing Machine learning and Deeplearning models for text data (python Scikit learn, Keras, Tensorflow) to answer business queries

- Expertise Working with large text corpora and using APIs in Natural language processing (NLTK, Spacy, Textblob, OpenNLP, Mallet, ClearNLP )

- Good experience in programming languages such as Python/Java /C++.

- Expertise in Big data platforms like Hadoop, Spark, Kafka etc.

- Experience or any knowledge of Intellectual Property prosecution or invention management related businesses would be an added advantage.

- Deep expertise in structured and non-structured databases like SQL, MySQL, MongoDB etc.

- Executed at least 3 data science projects that are into production

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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