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Lead Data Scientist and Cognitive Software Engineer

5.00 to 10.00 Years   Bangalore   31 Jul, 2020
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Job Description The Lead Data Scientist and Cognitive Engineer will lead one of our Cognitive agile teams through the phases of use- case data exploration and prototyping to the design, implementation and deployment of the resulting Cognitive services supporting the use- case.Responsibilities: Become Subject Matter Expert in Data Science and Machine.Lead a team of data scientists, machine learning engineers, software engineers and QA.Lead and mentor junior team members in data collection, preprocessing, feature engineering, data visualization and analysis.Engage with lines of business, users and analysts to explore and prototype opportunities and use- cases exploring data and the application of cognitive and machine learning technologies.Build automated data collection and preprocessing pipelines.Build models to address business.Lead the design, development, testing and support of Cognitive microservices, operationalizing and productizing resulting models and cognitive solutions.Ideal Candidate & Qualifications Bachelors degree (preferably in Computer Science), Masters5+ years of modern, object- oriented or functional programming experience, (Java, C++, Python, Scala, SQL)Proven experience as a Data Scientist, Data Analyst or Machine Learning engineer.Strong background in math, statistics andExperience in any of the following is highly desirable:Leading a software development teamData Science and Machine Learning Frameworks (R, Apache Spark / MLlib, TensorFlow, Scikit- learn, etc)Natural Language Processing (NLTK, CoreNLP, Gensim, Spacy, etc.)Experience with Big- Data technologies and cloud (Hadoop, AWS, other)Linux / Bash scriptingRelational databases (Oracle, PostgreSQL, MySQL, etc.)Agile development methodologyCI/ CD Development environments and tools (GIT, Maven, Jenkins, etc)RESTful Microservice APIsStrong analytical skills. Previous experience or education focused on statistics or data science is valuable. Communication skills. The ability to communicate at the right level with all parties involved, including senior management and business owners.We Work With Functional Experitse 12:21 PM12:51 AM06:51 AM02:51 PM05:51 PMService Offerings Industry Practices Functional Expertise About Us 2018 Gladwin Analytics ALL Rights Reserved.,

Keyskills :
analyticsbankingbusiness intelligenceclusteringcustomer relationsnatural language processingdata scienceapache sparkdata analysisdata collectionmachine learningnatural languagemanagementseniagile deve

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