General Information

Req #
Career area:
Data Management and Analytics
Friday, August 27, 2021
Working time:

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


·       Data Science and Analytics Manager is expected to play a lead technical role in architecting data science solutions in order to achieve outstanding business outcomes for the business operations

·       Work with the Heads of functions/Geos to define key questions and projects that will transform the business

·       Work closely with a team of data scientists and solve business problems by applying advanced Analytical and Machine Learning algorithms and complex statistical models

·       Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic data science products after successful prototyping.

·       Mentor and guide junior team members in achieving data science outcomes and handle multiple products and initiatives.

·       Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by applications of those

Position Requirements

·       Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions.

·       Deep knowledge of the foundations of machine learning and statistics and has made significant original contributions to the area both in research and practice.

·       Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems, forecasting using traditional and data science techniques, Text Analytics to uncover patterns within unstructured data sets

·       Strong Python coding skills and able to work with at least one other programming language such as Spark/Scala.

·       Ability to work in a big data ecosystem - expert in SQL

·       Collaborating with IT and other internal groups to address data quality, master data management, data governance and metadata management goals and issues.

·       Hands-on expertise on BI tools like Power BI and Tableau


·       Master’s degree in Operations Research, Applied Mathematics, Statistics, Computer Science, or related fields

·       Bachelor’s degree in Engineering, IT, Mathematics, Sciences or other technical discipline with advanced certifications on Data Science and Analytics

·       10 years of professional experience in Analytics and Data Science Applications with team leading experience

·       Experience with machine learning and AI

·       Demonstrated experience applying data science methods to real-world data problems

·       Project management and time management skills – experience with end-to-end project management processes

·       Ability to provide insight from multiple raw and refined data sources

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.