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Data Scientist – Digital & Data Strategy

SpringCube

Full time - Senior Associate/ Asst Manager

Home Furniture & Appliances

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

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

Data Scientist – Digital & Data Strategy

Company Overview:
A leading Singaporean direct-to-consumer smart home appliances brand, dedicated to delivering cutting-edge products at affordable prices. This rapidly growing and evolving organization is committed to innovation and is seeking passionate individuals to join its dynamic team.

Job Description:
The role involves analyzing complex datasets, developing predictive models, and applying advanced machine learning techniques to optimize business performance and support strategic decision-making. The candidate will work closely with cross-functional teams to translate business requirements into data-driven solutions.

Responsibilities:

  • Analyze large datasets to uncover trends, patterns, and correlations that provide valuable insights into business performance and customer behavior.
  • Develop and deploy predictive models to forecast business metrics, such as customer lifetime value and demand forecasting, and refine models based on performance feedback.
  • Conduct feature engineering to transform raw data into actionable insights, applying techniques for feature selection and dimensionality reduction to improve model performance.
  • Evaluate predictive models using metrics and validation techniques to ensure accuracy and reliability across different datasets and scenarios.
  • Communicate insights through data visualization tools, translating complex analyses into clear and actionable recommendations for stakeholders.
  • Collaborate with software developers, business analysts, and stakeholders to integrate analytical solutions into business processes and define success criteria.
  • Stay updated on emerging trends and technologies in data science, experimenting with innovative techniques and tools to drive analytical capabilities.

Requirements:

  • Proven experience as a Data Scientist with a strong track record in developing and deploying predictive models in real-world applications.
  • Proficiency in Python or R, with experience in data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn.
  • Strong understanding of statistical concepts, machine learning algorithms, and data mining techniques.
  • Experience with data visualization tools like Matplotlib, Seaborn, or Tableau, and the ability to communicate results to non-technical stakeholders.
  • Strong problem-solving skills and analytical thinking, with a data-driven approach to addressing business challenges.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders across all levels of the organization.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

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