Data Scientist

Singapore Permanent
  • Permanent Role
  • Growth & Leadership Opportunities

About Our Client

Our client is a leading technology service firm with a reputable presence in Asia Pacific. The brand is known to provide differentiated and end-to-end technology services to government bodies and enterprises.

Job Description

  • Translate customer pain-points into problem statements, architect analytics solution, and engagingly present results and learning's to both technical and non-technical audiences.
  • Develop and manage entire end-to-end life cycle 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 life cycle methodologies

The Successful Applicant

  • Post Graduate Degree (Masters or PhD) in Mathematics, Applied Statistics, Business Analytics or equivalent
  • At least 3 years of experience in advanced analytics delivery
  • Ability to communicate complex quantitative analysis in a concise and actionable manner
  • Proficiency in manipulating and analysing complex, high-volume, high-dimensional 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)
  • Expertise in Python/R, Apache Spark (or similar scripting language) coding capability to operationalize data analytics work-flows & 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 containerization (Docker, Kubernetes)

What's on Offer

Working in a reputable organisation that ensures their staff are given growth and leadership opportunities.

Syairah Banu
Quote job ref
Phone number
+65 6416 9818

Job summary

IT Data Analysis
What is your area of specialisation?
Technology & Telecoms
Contract Type
Consultant name
Syairah Banu
Consultant contact
+65 6416 9818
Job Reference