Data Scientist - RTM

Job description

Unilever is one of the world's leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. It has 172,000 employees and generated sales of €48.4 billion in 2014. Over half (57%) of the company's footprint is in developing and emerging markets. Unilever has more than 400 brands found in homes around the world, including Persil, Dove, Knorr, Domestos, Hellmann's, Lipton, Wall's, PG Tips, Ben & Jerry's, Marmite, Magnum and Lynx.

Unilever's Sustainable Living Plan (USLP) commits to:

• Decoupling growth from environmental impact.
• Helping more than a billion people take action to improve their health and well-being.
• Enhancing the livelihoods of millions of people by 2020.

Unilever was ranked number one in its sector in the 2014 Dow Jones Sustainability Index. In the FTSE4Good Index, it achieved the highest environmental score of 5. It led the list of Global Corporate Sustainability Leaders in the 2014 GlobeScan/SustainAbility annual survey for the fourth year running, and in 2015 was ranked the most sustainable food and beverage company in Oxfam's Behind the Brands Scorecard.

Unilever has been named in LinkedIn's Top 3 most sought-after employers across all sectors.

For more information about Unilever and its brands, please visit www.unilever.com. For more information on the USLP: www.unilever.com/sustainable-living/

JOB TITLE: Data Scientist (RTM)
JOB LOCATION: Singapore
RELOCATION TERMS:Local terms only

Main Purpose of the Job

Expected Work
Specifically, this role will focus on leading the development of data-science and algorithmic solutions that power I&A's portfolio of NRM and RTM (Route-To-Market) products. The role will integrate design inputs provided the global NRM COE and in-market data scientists working on NRM; and prioritize the most critical features into their models – ensuring a healthy balance between global scale and local relevancy. Furthermore, the role owns the future CR roadmap post product launch.

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
Resources
The position will be an individual contributor and manager role working closely with the RTM product owners. There may be third party contractors this role is accountable for.

Key Skills Required
Professional Skills
• Analytics Modelling and Techniques Fully Operational
• Analytic Platforms Fully Operational
• Data Exploitation Fully Operational
• Platform Technology Working Knowledge
• Data Visualisation Fully Operational

General Skills
• Change Management Working Knowledge
• Project Management Working Knowledge

Strong communication skills and ability to work with peers and demonstrate vertical and lateral influence.

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 2+ 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 TO APPLY:

As part of the application process, you will be asked to complete an online assessment consisting of 2 questions.
This is an important part of our application procedure and will take approximately 1-2 minutes of your time to complete. When filled out partially or not at all it may adversely affect the progress of your application.

Please apply online by clicking on “Apply Online” below. Your application will be reviewed against our requirements. Should you not meet our immediate requirements, your profile will be registered in our talent pool system and we will match your profile to suitable future vacancies.

You will be able to access your status update through the candidate tracking link.

Thank you for your interest and application.