General Information

Req #
WD00003776
Career area:
Data Management and Analytics
Country:
Singapore
State:
Central Singapore
City:
SINGAPORE
Date:
Thursday, June 24, 2021
Working time:
Full-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

The Role We are seeking a Data Scientist with experience working for a multi-national enterprise utilizing multiple datasets and sources and running advanced analytics for its global supply chain. Your role is to build and provide accurate, timely, relevant, and quality analysis while driving real-time insights for a dynamic business. You will be reporting to the Analytics Director in the company’s Global Analytics Hub. You will offer effective reporting, insight and analysis for multiple stakeholders, internal clients, locations, and priorities. You will be working hands-on to build proof of concepts and support delivery of full-scale and flexible solutions while ensuring stakeholder satisfaction. As a Data Scientist, you will be responsible for: Responsibilities: Data Science, Data Analytics and & Data Visualization Work with the manager to define key questions and projects that will transform the business Liaise both internally within the team as well as externally with business stakeholders for understanding of business requirements and building data-driven solution, tools, and visualizations Support the development and testing of hypotheses across all supply chain related data sets supplied by the business Experience with large-scale algorithms extracting and analyzing data from multiple and complex data sets Building, validating, and prioritizing available functional data sets (raw and refined) and external market data to improve demand plans, service levels, reduce inventory, optimize routing, and other supply chain KPI’s Apply advanced analytics techniques and algorithms to support data driven decision-making for the supply chain Support the proof of concept, and development of data driven solution from conception to implementation Reviewing, implementing, and analyzing multidisciplinary techniques and algorithms that will substantially impact the company’s understanding of its data Ability to convert complex data into easy-to-understand data insights and action plans This position will be based in Singapore. Position Requirements: Bachelor’s degree in Engineering, IT, Math, Economics, Statistics, Sciences, or technical discipline At least 2-3 years of experience working on and running descriptive, predictive, and prescriptive analytics. Expert knowledge of Python, R, SQL programming and visualization tools such as PowerBI, Qlik Sense, Tableau is a must Ability to understand and extract data from large and complex data sets (structured & unstructured) Basic knowledge of data quality measurements, methodology and reporting tools Basic knowledge of data management and data analysis Basic knowledge of statistical methods and market leading data analysis tools and platforms Strong results driven personality, with a high level of enthusiasm and self-motivation Excellent analytical, communication, organizational and presentation skills Ability to demonstrate flexibility and integrity and be able to work hands on, independently or with a small team
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.