Lenovo

Position: Data Science and Analytics Manager

Job Type: Regular

Location: Bangalore, India

Type: Individual Contributor

Responsibilities:

·       Data Science and Analytics Manager is expected to play a lead technical role in architecting data science and AI 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

·       Implementing and improving AI models for business

·       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 AI, 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

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 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