Send me more jobs like this

Sorry, This job is expired.

Data Science Manager

Keywords / Skills : testing, Data Analytics, Python, IP, Operations Research, Apache, data visualization

Posted: 2019-01-19

Nationality
Singapore
Industry
Recruitment/Staffing/RPO
Function
IT
Role
Project Management
Posted On
19th Jan 2019
Job Ref code
9150
Job Description

Data Science Manager
  • Exciting opportunity to be a part of a world leading Consumer Goods Company
  • Permanent Opportunity with good benefits


MAIN JOB PURPOSE:
  • As a Data Science Manager will be the core member of Data Science Centre of Excellence team, tasked to develop data science approaches for Information and Analytics products, starting with initial proof of concept and supporting the scale up to global solutions.
  • This role will undertake challenges such as optimizing trade promotion investments, understanding sales drivers, and building models that enable markets to make better planning decisions


JOB SUMMARY:
  • Work with the I&A product owner and market teams to fully understand the business problems and how to deliver relevant insights that lead to actions.
  • Gather data and build machine learning models to solve business problems requiring predictive and / or prescriptive analytics
  • Work with colleagues within the Data Science Centre of Excellence, across locations and all levels of seniority, to develop optimal solutions
  • Guide the work of 3rd party vendors, ensuring optimal delivery while creating IP and capability within company
  • Support product teams scaling models into low-touch solutions to provide optimal ROI from data science.


KEY REQUIREMENTS:
  • B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics).
  • Strong track record in solving analytical problems using quantitative and machine learning approaches
    • Deep experience in common machine learning techniques such as Random Forests, Boosting, Regularized Regression, Naïve Bayes Classifiers
    • Deep experience working with and coding in R, R Shiny, Python
    • Deep experience in testing and measurement (A/B, multivariate, inferential measurement e.g. Causal Impact)
    • Working knowledge of advanced machine learning such as Deep Neural Networks, Support vector machines, Reinforcement learning and Bayesian networks
    • Working knowledge in classical statistics (Regression, Clustering, Optimization, Time Series, Probability)
    • Working knowledge of data visualization concepts in reports (Tableau, Power BI) and specialist tools (D3 or equivalent)
  • Fluency extracting and combining complex, high-volume, high-dimensionality data from multiple sources (enterprise, proprietary, IoT, public domain), including unstructured data (comment threads, audio, video)
    • Working knowledge working with large data sets, experience working with distributed computing tools a plus (Apache Spark, Hive, Imp ala)
    • Working knowledge working in Microsoft Azure and scaling analytic products over GPUs in the cloud
  • Ability to communicate complex quantitative insights in a precise, and actionable manner to senior business stakeholders
  • Good to have worked in Consumer Goods indutry/ Data Analytics vendors / Data Analytics consulting companies

Please send your resume in WORD format by clicking the apply button below or contact Preetika Bhatia on +65 6701 1523 for a confidential discussion. Please note that only short-listed candidates will be contacted. CEI Reg. Number R1767372 (Bhatia Preetika).

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.


Walkin for you