Country Data Scientist (Job Number: 190009Y5) Location : Indonesia-Banten-Tangerang-Grha Unilever Job Field
: Information Technology Posting Date
: Nov-12-2019 End Date
: Nov-19-2019 Job Type
: Regular Shift
: Day Job Job Schedule
: Full-time
Description
: Job Title: Data Scientist
Expected Work
As a Data Scientist, you will be an integral part of the Information and Analytics team supporting the organization to enhance and drive overall top-line sales growth and profitability. This role will also interface with multiple key stakeholders and functional teams.
Key Accountabilities/Deliverables
- Build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and/or prescriptive analytics for pricing, promotion, trade spending, assortment, and CD performance management
- Innovate new data and analytic methodologies by partnering closely with in-market data scientists who are engaged – linked closely with CCBTs and CD teams
- Partner with the global and in-market data experts to drive new value from insights from connecting external (Retailer, Darwin) and internal data sources (SAP, Teradata)
- Develop the 12-month roadmap of data-science and algorithmic enhancement roadmap
Requirements/ Relevant Experience:
- B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Overall experience of 5+ years preferred
- Strong track record in solving analytical problems using quantitative and statistical approaches
- Expert knowledge in statistics (Regression, Clustering, Random Forrest, Decision Trees, Optimization, Time Series, Probability, and other related advanced methodologies)
- Expert knowledge of an analysis tool such as Angoss, KNIME, Spotfire, Microsoft PowerBI, and Tableau
- Expert knowledge working with and coding in R, R Shiny, and Microsoft Azure Machine Learning
- Ability to manipulate and analyse complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)
- Experienced knowledge working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive)
- Experienced knowledge working in Microsoft Azure and applying Cortana to develop scaled analytic models in the cloud
- Experienced knowledge with relational and columnar databases – SQL is a plus
- 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
Only shortlisted candidates will be notified. Thank you for your interest and application.
