Data Scientist

Company:
Location: Bengaluru, Karnataka

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Why Work at Lenovo

Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society that’s brighter and more inclusive.

And we go big. No, not big—huge.

We’re not just a Fortune Global 500 company, we’re one of Fortune’s Most Admired. We’re in 180 markets, working with 63,000 brilliant colleagues and counting. And we’re known for the world’s most complete portfolio of smart technology, from devices to software to infrastructure.

With our ingenuity, we help millions—not just the select few—experience our version of a smarter future.

The one thing that’s missing? Well… you...

Description and Requirements

Job Description Motorola Mobility is one of the world’s fastest growing smartphone providers, creating groundbreaking, affordable, high-quality products designed and built with the global customer in mind. And it’s our people who make this all happen. We are thinkers, risk-takers and problem solvers, working together to constantly challenge the status quo.

If you share our commitment to ingenuity, creativity and innovation, we want you to help us define our world of tomorrow. - Lead the building & design of machine learning models, data architecture, and end-to-end pipelines to improve various aspects of service operations,

such as customer service, risk reduction, fraud, and device diagnosis - Work cross functionally with operations and engineering teams to define and collect data to solve business problems - Use machine learning state of the art techniques for feature engineering, anomaly detection, predictive and general model building - Communicate results in a comprehensive clear manner

Basic Qualifications: - 5+ years of industry experience building machine learning solutions from business ideas to products - Provide guidance and mentorship to software engineers, data scientists and interns - Analytical skills to root cause complex issues and provide possible solution(s) , document, and communicate to stakeholders - Understanding of advanced statistics and modern machine learning techniques (e.g. classification, clustering, NLP, optimization, neural network) - Ability to communicate clearly with technical and non-technical audiences, globally Preferred Qualifications: - Data engineering experience (e.g. Spark, Hive) - Experience productionizing real-time machine learning solutions
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class.

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