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Data Scientist Manager (Public Services)

SpringCube

Full time - Manager

IT Services & Consulting

Singapore ( Onsite )

Published 3 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A global multinational professional services company specializing in information technology (IT) services and management consulting. Headquartered in Dublin, Ireland, it serves clients in more than 120 countries.

Job Title: Data Scientist Manager (Public Services)

Job Description:

As a Data Scientist Manager, you will lead efforts in leveraging data to drive impactful solutions within the public services sector. You will be responsible for the entire lifecycle of data science projects, from data collection and preprocessing to model development, deployment, and monitoring. Your role will involve both strategic thinking and hands-on execution, requiring you to step in and solve problems directly when necessary. You will collaborate closely with cross-functional teams to understand their needs and translate them into data-driven insights. Effective communication of findings through visualizations and reports to various stakeholders will be crucial.

Key Responsibilities:

  • Collect, clean, and preprocess large datasets for analysis.
  • Develop and implement machine learning models and algorithms.
  • Perform statistical analysis to identify trends, patterns, and insights.
  • Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
  • Create data visualizations and reports to communicate findings to stakeholders.
  • Continuously monitor and improve model performance.
  • Stay updated with the latest advancements in data science and machine learning.

Qualifications

  • Prior experience in Public Services will be ideal (optional)
  • Ability to operate at both strategic and tactical levels, stepping in to solve problems directly when needed.
  • Proficient in Regression Models
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn).
  • Strong knowledge of statistical analysis and data visualization tools (e.g., Tableau, Power BI).
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.

Disclaimer

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