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Data Scientist - Infrastructure Development

30+ days ago 2024/12/17
Full Time Employee · 5-8 Years of Experience
1-9 Employees · Human Resources Outsourcing

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Job Description

  1. Data Analysis and Interpretation:
  • Collect, process, and analyze large datasets from multiple sources, including financial, operational, and market data.
  • Identify patterns, trends, and correlations within the data that can provide actionable insights for decision-making.
  • Translate complex data analyses into clear, understandable reports and presentations for both technical and non-technical stakeholders.
  1. Data-Driven Decision Support:
  • Collaborate with the portfolio management, finance, and operations teams to integrate data analytics into business planning and decision-making processes.
  • Provide recommendations on optimizing asset performance, reducing costs, and maximizing returns based on data-driven insights.
  • Support scenario analysis and stress testing to assess the impact of different strategies and market conditions.
  1. Data Visualization and Reporting:
  • Create interactive dashboards and visualizations that allow stakeholders to explore and understand key metrics and trends.
  • Ensure that data visualizations are tailored to the needs of different audiences, from senior management to operational teams.
  • Maintain and update reporting tools to provide real-time insights into portfolio performance and other key metrics.
  1. Data Governance and Quality Assurance:
  • Establish and maintain data governance practices to ensure the accuracy, consistency, and security of data.
  • Work with IT and other departments to ensure data is collected, stored, and processed in compliance with company policies and regulations.
  • Conduct regular audits and validations to maintain the integrity of datasets and models


  • ​​​  5. Innovation and Continuous Improvement:Stay up to date with the latest developments in data science, analytics, and machine learning to continuously improve methodologies and tools.
  • Propose and implement innovative solutions that leverage data to address complex business challenges.
  • Foster a data-driven culture within the organization by promoting the value of analytics and encouraging the use of data in decision-making


Skills

  • Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • A master’s degree or Ph.D. in a relevant discipline is preferred.

  • Experience: At least 5-8 years of experience in data science, analytics, or a related field, with a strong focus
  • on data-driven decision support. Experience in the infrastructure or asset management industry is a plus.

  • Skills:
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Ability to translate complex data into actionable insights and communicate them effectively to non-technical stakeholders.
  • Experience in working with large datasets and databases, including cloud-based data storage solutions.
  • Strong problem-solving skills and a proactive approach to identifying and addressing challenges.
  • Ability to independently drive initiatives, from concept to implementation, within the data science domain.
  • Excellent communication skills, with the ability to work collaboratively across departments and present data-driven insights to diverse teams.


Preferred Candidate

Years of Experience
Min: 5 Max: 8
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