Principal Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Responsibilities

• Work with Business stakeholders to translate opportunities and problem statements, architect and implement ML/ AI technologies/solutioning and present results and insights to business stakeholders.
• Manage and develop a team of Data Scientists, including reviews and instill best practices.
• Solid track record of deploying machine learning algorithms in production environment.
• Develop and deploy analytical solutions across a variety of business functions, including, but not limited to: customer acquisition, customer retention, product development, pricing decisions, network roll-out
• Track and improve performance of analytical solutions developed
• Communicate findings to wider audiences within Singtel
• Develop on cutting edge business applications, tools and approaches, and strategic capabilities

We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.

The Ideal candidate should possess:

• Good degree in Analytics or Computer Science with 5 -7 years experience in computer science, applied mathematics, statistics, machine learning, or a related quantitative field.
• Deep technical and data science expertise, including experience in the following:
• Analytical methods: statistical modeling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., random forests, neural networks), design of experiments, segmentation/clustering, text mining, network analysis (e.g., location allocation), optimization, simulation
• Analytics tools: Data wrangling (SQL, R, Python, Spark, Hadoop/Hive, Impala), Data Modeling (R, Python), Data visualization (Tableau, R Studio, Power BI)
• Experience on working with Cloud based Data Platforms/ Tools.
• Experience in Data Governance and Security best practices
• Experience in Code reviews and improvements.