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Data Scientist

4 months ago

Singapore NodeFlair Full time

Job Summary:

Salary
S$8,400 - S$13,000 / Monthly

Job Type

Seniority
Senior

Years of Experience
At least 6 years

Tech Stacks
TensorFlow Analytics SQL Python

Role Purpose

Roles & Responsibilities

  • Collaborate with stakeholders to define data science strategies, objectives, and priorities.
  • Drive the development and deployment of complex predictive models and machine learning algorithms.
  • Accountable for data science input into the design, development, and implementation of major solutions, and where necessary methodological direction provided to direct reports.
  • Accountable (owns) the completeness and accuracy of the Analytics Requirements.
  • Owns the configuration and Implementation of data science models using the agreed technologies components (e.g., Python).
  • Able to manage multiple deployments concurrently.
  • Ownership of Analytics Quality assurance and testing for solutions within the scope of the domain.
  • Lead and manage data scientists assigned within product development, providing technical guidance, mentorship, and performance feedback.
  • Communicate data science initiatives and results to senior management and other relevant stakeholders. Update the team with the latest advancements in data science technologies and tools and assess their potential impact on the team's work.

Requirements:

  • Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
  • 4+ years of experience in statistical / ML data modeling and business intelligence/data mining.
  • Fluency in programming languages\frameworks: SQL, Python, TensorFlow.
  • Strong visual design skills used in creating informationdense, easytounderstand reports and dashboards (with examples): Tableau, MS Power BI, Python, or JavaScriptbased visualizations.
  • Working knowledge of Agile and DataOps.
  • Must be able to work collaboratively with crossfunctional crossgeographical teams to analyze and understand business needs.
  • Good knowledge of at least two functional areas: customer relationships and sales, freight forwarding/express/ecom/logistics operations, pricing, customer service, aviation operations, finance, and billing.
  • Excellent communication and presentation skills (English), including translating technical concepts for nontechnical stakeholders.