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Data Science - Engineering Manager @ Paytm

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 Data Science - Engineering Manager

Job Description

As a EM Data Science, you will lead and manage a team of 5 to 6 data scientists, understand the strategic, financial, and operational goals of the organization and identify opportunities to leverage data science and machine learning solutions towards the same.
 
Requirements:
9 to 13 years of experience in building various Machine Learning Models
Leading a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions for advertising science domain.
Mentor peers and junior members and handle multiple projects at the same time.
Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with and extending the state-of-the-art in data science research.
 
Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications
Engage and partner with universities, institutes and vendor partners to bring in ideas and innovation into the labs environment.
Participate and speak at various external forums such as ML / AI conferences.
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
 
Preferred Qualification : Bachelors/Masters Degree in Computer Science or equivalent
 
Skills that will help you succeed in this role:
Strong experience in buiding ML Model end to end
Hands-on leader, and problem solver with a passion for excellence.

Job Classification

Industry: Internet
Functional Area: Data Science & Analytics,
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning
Employement Type: Full time

Education

Under Graduation: Any Graduate
Post Graduation: Any Postgraduate

Contact Details:

Company: Paytm
Location(s): Noida, Gurugram

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Keyskills:   Computer science data science EDC Machine learning Research Management Continuous improvement Operations Advertising Financial services

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