Sr. Analyst, Data Science - DFS5218225 in Singapore at DFS

Date Posted: 6/10/2019

Job Snapshot

Job Description

The Sr. Analyst Data Science will be responsible for building, expanding and maintaining DFS’s algorithmic assets within the AI platform. This person has a strong knowledge of AI/Data Science concepts and will be responsible to build various data science models independently. Working closely on a variety of business cases the Sr. Analyst Data Scientist will help DFS to generate significant and recurrent returns from the algorithms in place, as well as explore new use cases and develop new AI capabilities.

Key Responsibilities:
The data scientist will be responsible to grow DFS’s AI capability. Leveraging the data assets available, the data scientist will explore new hypotheses, build deep learning algorithms and be responsible to maintain model quality over time. Daily, the existing algorithms base will be reviewed for declining performance or to validate new ideas, and if all are good, new algorithms and use cases will be developed to add to the inventory. In this role it’s key to own algorithmic structure and being able to explain complex deep learning algorithms in layman terms to business stakeholders.

Key Requirements:

• Masters in Data Science and Analytics, Masters in Artificial Intelligence, Masters in Machine Learning
• 1-5 years of relevant working experience
• Strong background in Python
• Strong background in building algorithms
• Knowledgeable about big data systems (AWS/Google/Azure)
• Team player, both internal between data scientist as external with business stakeholders
• Good at translating complex data mechanisms into simple business structures
• Has a passion for AI and is data savvy.
• Hands on experience with: Forecasting (ARIMA, RNN, LTSM, Light GBM), propensity modeling (XGBoost, NN, RF), clustering, basket analysis, & recommender systems (content-based filtering & collaborative Filtering)