Senior Data Scientist

**Job Summary**:
**Salary**
S$8,000 - S$16,000 / Monthly

**Job Type**

**Seniority**

Senior

**Years of Experience**
At least 3 years

**Tech Stacks**
Go Analytics Hive Impala Spark SQL Hadoop Python

**Be a Part of Something BIG**

In Singtel Singapore, we are driven by a customer centric culture that guides us in what we do. The Advanced Analytics team is an integral part of the Singtel Singapore and aims to make customer centricity decisions driven by advanced analytics. We are looking for a **Senior** **Data Scientist, **who is passionate in delivering business impact through analytics and machine learning.

The Senior Data Scientist role assumes a key role in supporting our efforts in insights discovery and ML model development to effectively predict and anticipate market changes, and how it impacts our Business. The role also influences every key decision we make in our business operations to develop new insights and grow new revenue streams.

**Make an Impact by**:

- Work with Business stakeholders to translate opportunities and problem statements, architect and implement ML/ AI solutions, including Generative AI and LLM
- Design and integrate analytical models into a customer-centric decision engine
- Work on customer behaviour analysis to uncover insights related to Singtel’s product and service offerings
- Enhance and maintain data & analytical models related to customer interactions, life stage, affluence, and interests
- Enable data exploration, insight discovery, and experimentation for life cycle marketing campaigns
- Communicate data insights and findings to wider audiences within Singtel

**Skills for Success**
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field, with at least 3 years’ of relevant working experience.
- Hands-on experience in integrating analytical models into decision-making processes, collaborating with stakeholders, and turning insights into actionable decisions.
- Deep technical and data science expertise, demonstrating proficiency in:Analytical techniques: Statistical modelling (e.g., linear regression, GLMs, time series), supervised machine learning (e.g., Gradient Boosted Tree, Neural Networks), Generative AI, LLMs, design of experiments, segmentation/clustering, text mining, network analysis, optimization, simulation
Analytics tools: Efficient data manipulation (with skills in SQL, Python, Spark, Hadoop/Hive, and Impala) and data visualization (using tools like Power BI).
- Solid track record of deploying machine learning algorithms in production environment.
- Excellent data visualization and communication skills, with the ability to present insights and findings in a clear, concise, and compelling manner, both in written and verbal form.
- Familiar with code review processes, including the ability to review and improve the quality of code written by other team members to ensure best practices and optimal performance.
- Strong problem-solving skills, with the ability to identify and solve complex business problems through data analysis.
- A team player with a customer-focused mindset, able to work well in a team and passionate about delivering exceptional customer experiences.

**Rewards that Go Beyond**
- Full suite of health and wellness benefits
- Ongoing training and development programs
- Internal mobility opportunities

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