Singtel - Snr Data Scientist, Data & AI Engr

Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Data Scientist, , you will be responsible for driving data-driven initiatives, managing a team of data scientists, and collaborating closely with cross-functional teams to deliver innovative data solutions for clients.

What you will do:

• Translate customer pain-points into problem statements, architect analytics solution, and engagingly present results and learnings to both technical and non-technical audiences.
• Develop and manage entire end-to-end lifecycle of scoping of data inputs, data cleaning and pre-processing, feature engineering, building models, deploying to production and improving models by iterations
• Present statistically sound model validations to justify model selection and performance
• Build and deploy highly valuable, efficient, scalable advanced analytics models in production systems
• Design and develop sophisticated visualizations and dashboards to explain the actionable insights
• Contribute to the data architecture engineering decisions to support analytics.
• Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
• Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
• The range of accountability, responsibility and autonomy will depend on your experience and seniority, including:
• Contributing to our internal networks and special interest groups
• Mentoring to upskill peers and juniors

The ideal candidate should possess:

• Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them
• Good critical thinking and problem-solving abilities
• Curiosity to ask why and tenacity to find the root causes
• Enthusiasm for implementing machine learning products through extensive experimentation from prototyping to production
• Stay up to date with evolving analytics concepts and data science platforms, tools, and techniques
• Ability to work independently and manage multiple task assignments
• 2 years of experience in advanced analytics delivery / research for full-time applicants or academic exposure for interns applying for this role
• Ability to communicate complex quantitative analysis in a concise and actionable manner
• Proficiency in manipulating and analysing complex, high-volume, high-dimensionality data (structures/unstructured) from varying sources
• Strong knowledge in Feature Selection/Extraction on a variety of data types
• Strong competency in various machine learning techniques (supervised/ unsupervised learning)
• Solid understanding of advanced analytics (Statistics, NLP, Simulation, Optimizations, etc.)
• Expertise in Python/R, Apache Spark (or similar scripting language) coding capability to operationalize data analytics workflows & processes
• Experience in data visualisation tools and libraries such as Tableau, Qlik, Shiny Plotly, ggplot2, etc
• Experience in machine learning model management and deployment tools using containerisation (Docker, Kubernetes)
• Experience in Amazon Web Services, Microsoft Azure, Cloudera, Hadoop, Spark, Storm or related paradigms and associated tools such as Pig, Hive, Mahout
• Experience with DevOps tools in analytics project delivery
• Experience with application/ software development and design
• Exposure in deep learning, and reinforcement learning job experience
• Experience in implementing Graph database analytics
• Knowledge in database modelling and data warehousing concepts