Strategic Data Insight Lead

2 weeks ago

Singapore beBeeDataScientist Full time $120,000 - $150,000

Unlock Business Value with Data-Driven Insights

Job Description

As a seasoned data scientist, you will be instrumental in helping our clients achieve business success through the strategic application of data-driven insights.

Key Responsibilities:
  • Collaborate with cross-functional teams to gather and analyze complex data sets for mergers, acquisitions, valuations, restructuring, and business performance improvements.
  • Apply advanced data science and machine learning skills to real-world business problems, aiming to identify actionable insights that may create value and drive positive impacts for our clients.
  • Load and preprocess large, complex datasets (structured and unstructured) to make them usable for predictive modeling, statistical analysis, and visualization.
  • Develop predictive models, machine learning algorithms, and statistical models to identify trends, risks, and opportunities in the data.
  • Apply optimization techniques to solve business problems related to resource allocation, pricing, and other business and operational aspects.
  • Generate actionable business insights based on processed data, transforming analytical results and models into clear data-driven recommendations for stakeholders.
  • Create compelling data visualizations and dashboards using tools like Power BI, Tableau to communicate findings and tell stories effectively.
  • Present findings to senior management and clients, helping them leverage data science models to optimize their strategic and operational decisions.
Requirements:
  • Bachelor's degree or above in Data Science, Computer Science, Statistics, Applied Mathematics, or related field. Master's degree in data science and AI is beneficial.
  • Minimum 5 to 8 years of experience in data science or data analytics roles, AI, operational research.
  • Ability to generate actionable insights from data, going beyond numbers to make meaningful business recommendations.
  • Effective communication skills, with the ability to explain complex models and results to non-technical stakeholders.
  • Experience in financial analysis, understanding of corporate finance, and deal structuring is a plus.
  • Problem-solving mindset with a focus on delivering results in high-pressure, time-sensitive environments.
  • Ability to collaborate with diverse teams and work on multiple projects simultaneously.
  • Strong proficiency in Python, Alteryx, Power BI (or Tableau) are essential.
  • Hands-on experiences on the following: Alteryx (incl. macro and analytic app) to build workflow for data analysis and insights generations Operational research including mathematical optimization models and solver tools (e.g. linear programming, mixed-integer programming)
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