Senior Data Scientist

General Information

Req #
WD00075843

Career area:
Data Management and Analytics

Country/Region:
India

State:
Karnataka

City:
BANGALORE

Date:
Friday, December 6, 2024

Working time:
Full-time

Additional Locations:  * India - Karnātaka - Bangalore
* India - Karnātaka - BANGALORE





Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers. 
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). 

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.





Description and Requirements

Responsibilities:

·Senior Data Scientist is expected to play technical role in architecting data science solutions in order to achieve outstanding business outcomes for the business operations

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

·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

·Participate in internal technical councils and represent the organization in forums that involve community of data scientists across industry and academia.

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.

·Expertise on BI tools like Power BI and Tableau

Qualifications

·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 in Data Science

·Minimum 7 years of professional experience with Data Science Applications

·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

Additional Locations:  * India - Karnātaka - Bangalore
* India - Karnātaka - BANGALORE


* India

* India - Karnātaka

* India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE

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