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Data Science Manager

Keywords / Skills : SQL, SAS, Matlab, Python, C, data analytics, master data management, Java

10 - 20 years
Posted: 2018-11-20

Software Engineer/ Programmer
Posted On
20th Nov 2018
Job Ref code
Job Description

Data Science Manager – Customer Data Management – FMCG
  • New position to support Analytics needs for global Customer Development programme for world leading consumer goods company
  • Role is a combination of Data Science, enabling Strategic Consumer insights and supporting complex supply chain planning

As the Data Science Manager, you will support senior business leaders in producing and delivering a data plan that will help support a global initiative to transform customer data looking at dissemination, innovation and acquisition of new data that is market specific
This would suit a Senior Data Scientist / manager who has worked with large customer / consumer /master data management to support business decisions related to commercial interests in areas of Net Revenue Management, Route to Market and global Customer Data transformation
You will be working with priority Customer Development areas to identify market wide business issues and ability to translate these requirements to insights, needed to address these opportunities

  • Delivery of the business plan priorities between IT function and the global Customer Development leadership
  • Serve as the trusted data and analytics consultant for key stakeholders by providing products-solutions that rapidly solve for business issues
  • Accountable for innovating analytic methodologies driven by global needs
  • Budget management
  • Change management

  • Educated to graduate level in Computer Science, Business or Supply Chain or relevant degree
  • Overall experience of 8-10+ years with proven relevant experience plsu following technical strengths:
    • Expert knowledge of an analysis tool such as R, Python, Matlab, or SAS
    • Experience in coding languages (Java, C) is a plus
    • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
    • Familiarity with relational databases and SQL
    • Working knowledge to apply Microsoft Azure analytics product to develop scaled analytic models in the cloud
  • Commercial understanding of Supply Chain Planning
  • Strong track record of working with senior business leadership VP and above, to drive definition, alignment, and support for application of analytics and data to address complex business issues (e.g. centralization of promotion spending decisions)
  • Passion for empirical research and for answering hard questions with data
  • Ability to apply an agile analytic approach that allows for results at varying levels of precision
  • Ability to communicate complex quantitative insights in a precise, and actionable manner

Please send your resume in WORD format by clicking the apply button below or contact Anju Lagah on +65 6701 1504 for a confidential discussion. Please note that only short-listed candidates will be contacted.CEI Reg. Number R1219693 (Anju Lagah).

About Company

EA Registration No. 12C5526

Founded in 1950, and established in Asia in 2004, VOLT is a NYSE listed Fortune 1000 provider of talent (recruitment), technology and consulting services with 4,200 full time employees, some 30,200 contractors and 192 offices across Europe, North and South America and Asia.

Volt's workforce solutions include executive search, contract and temporary staffing, managed services programs, vendor management systems and recruitment process outsourcing. Volt combines consultative focus, Six Sigma practices and efficient e-procurement technologies to deliver the talent and processes that help our customers succeed.
We connect companies with industry-leading specialists. Our proven search process cultivates a superior network of active and passive professionals, enabling us to provide best-fit experts in a broad range of business disciplines.

Our areas of expertise include Accountancy & Finance, Engineering, Human Resources, Information Technology & Telecommunications, Life Sciences, Procurement & Supply Chain, Property, and Sales & Marketing.

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