Data Scientist - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

1 week ago

Posted by:

Wei Jie

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Description

Job Summary:

Job Type
Contract

Seniority
Senior

Years of Experience
6-8 years

Tech Stacks
Analytics Qlik R SQL Hadoop Python

Responsibilities

Work with stakeholders throughout the organization to define business problems and identify opportunities that leverage on company data to drive business solutions
Research and explore different data sources, work with data and system experts to understand the data and what it represents. Perform data cleaning, preprocessing, feature engineering and build relevant models and algorithms to conduct meaningful analysis.
Work within a crossfunctional matrix team comprising data analyst, business users, data engineers etc, and guide the team in developing artificial intelligence and machine learning models to extract insights, from structured and unstructured data, that optimise business outcomes.
Develop processes and tools to monitor and analyse model performance and data accuracy
Communicate and present insights to senior management and/or other stakeholders with actionable recommendations
Work with the data engineering team to automate data workflows and deploy analytical solutions for business users
Actively seek out opportunities to innovate by using nontraditional data and new modelling techniques.
Research and enhance existing analytics techniques by promoting new methodology and best practices in analytics field.

Requirements:

Minimum 68 years of relevant working experience
Proficient in the use of opensource analytic tools (i.e. R and python), visualization tools (i.e. Qlik Sense, Tableau and Power BI) and database development tools (i.e. SQL and Hadoop)
Experience in working with large structured and unstructured datasets
Experience with cloud computing will be advantageous
Passion for learning new techniques and solving challenging problems
Ability to work independently and in crossfunctional teams to drive business solutions
Good analytical and presentation skills, including the ability to articulate complex data analysis in both technical and nontechnical approach to stakeholders