Data Scientist

A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brain power. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. (Linkedin.com)

Salary Range: S$20,000 to S$102,000 per year

Other titles: Data Analyst

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Job Tasks

Collaborate with product design and engineering to develop an understanding of needs

Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products

Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries

Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy

Analyze data for trends and patterns, and Interpret data with a clear objective in mind

Implement analytical models into production by collaborating with software developers and machine learning engineers.

Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Human Skills

Complex Problem Solving — Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.

Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.

Teamwork — This soft skill can be essential to the role of data scientist. Oftentimes, data scientists may work with or even lead a team of developers, mathematicians, researchers and other individuals that are involved in a project.

Communication skills — Data science can require exceptional written communication skills, as data scientists may often provide written accounts of the projects they work on.

Technology Skills

Data Mining Software (Finding patterns, trends or correlations) — Google analytics

Presentation/Display software — Excel; PowerPoint; Tableau

Programming — Python; Java

Proficiency in Mathematics and statistics

Alignment to HowtoFascinate Advantages

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