Senior Data Scientist

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Senior Data Scientist to develop data-driven solutions that drive business value. The ideal candidate will have advanced experience in data modeling, statistical methods, and machine learning techniques. Strong analytical skills and the ability to communicate findings to stakeholders are essential. This role requires a Bachelor's degree in Data Science or a related field, along with expertise in programming languages such as R and Python.

Qualifications

• Advanced understanding of statistical methods and data modelling.
• Desire to continuously learn and adapt in data science.
• Ability to clearly communicate technical findings to non-technical stakeholders.

Responsibilities

• Design and develop methods for analyzing unstructured data.
• Interpret insights and findings from data analysis.
• Create SQL queries for data analysis.

Skills

Data modelling

Statistical methods

Machine learning techniques

Quantitative analysis

Qualitative analysis

SQL

Data visualization

Education

Bachelor’s degree in Data Science, Business Analytics, or related field

Tools

R

Python

Job description

The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization.

The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.

Responsibilities

• Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Designs and enhances data collection procedures to include information that is relevant for building analytic systems.
• Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.
• Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Directs scalable and highly available applications leveraging the latest tools and technologies.
• Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
• Creates SQL queries for the analysis of data and visualizes the output of the models.
• Responsible for ensuring that industry standards best practices are applied to development activities.

To thrive in this role, you need to have:

• Advanced understanding of data modelling, statistical methods and machine learning techniques.
• Strong ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Curiosity to sift through data to find answers and more insights.
• Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Strong ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.

Academic qualifications and certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Relevant programming certification preferred.
• Agile certification preferred.

Required experience:

• Advanced demonstrated experience in a data science position in a corporate environment and/or related industry.
• Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
• Advanced demonstrated experience in programming languages (R, Python, etc.).
• Advanced demonstrated experience working with and creating data architectures.
• Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
• Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.