Jawatan Kosong QC Analyst Specialised In Data Science NodeFlair Malaysia

by admin on Mei 27, 2024

NodeFlair Jobs

Jawatan Kosong QC Analyst Specialised in Data Science in Malaysia

Description :

Job Summary


Job Type

    Seniority
    Junior
    Years of Experience
    Information not provided

    Tech Stacks
    Powershell VBA R Git Python

    Job Description

    About ISI Emerging Markets Group:

    ISI is a truly international business with over 500 employees based across 18 locations. We have a proud 30-year history as the leading provider of data, analysis and research on the world’s fastest growing and highest potential growth markets. We support our clients by anticipating their needs and providing them with expert advice and access to the information they require to make smarter business decisions. This includes macroeconomic data, research and analysis on companies, industries and countries.


    For more information, please check out our website: www.isimarkets.com.


    Working for us:

    Our culture is purposed around our people, and we pride ourselves on supporting our employees to be the best they can be. Working for us will mean being part of a supportive and highly professional environment.

    The Company operates a hybrid working model of 2 days in the office and 3 days from home, and additionally 4 weeks a year you can work from any location that you choose.


    Now, we are seeking a talented professional to be recruited on a full-time position in our Global Database Team.


    Core Responsibilities:

    • Being part of the Quality Control Team in ensuring the standard of company products.
    • Design predictive modelling and develop custom data models and algorithms which best fit quality benchmarking on various company products.
    • Mine and analyse data from company databases to drive optimization and improvement on process efficiency, fulfil business requirements and taking active role in process-automations.
    • Assess gaps of existing processes and identify opportunities for potential improvements, propose and initiate system-enhancement projects.
    • Develop processes and tools to monitor and analyse model performance and data accuracy.


    Requirements:

    • Candidate must possess at least a bachelor’s degree in Statistics, Computer Science, Data Science, or any other quantitative field.
    • Excellent written and verbal communication skills in English for coordinating across teams.
    • Proficiency in R Programming and Machine Learning skillset is a MUST: This is a highly specific position requiring strong programming skills in statistical computer languages such as R/RStudio, Python, PowerShell, VBA for Excel, etc.
    • Familiar with version control system such as Git.
    • Strong analytical skills and problem-solving capabilities with an emphasis on process automations & workflow design for system efficiency and effectiveness.
    • Experienced in text mining, time series analysis, or visualization in Power BI would be an advantage.
    • Innovative, proactive, independent and be able to multitask under pressure and tight schedules.
    • Applicant with 1 – 2 years’ experience in programming is preferred but fresh graduates with strong programming skills are encouraged to apply.


    What We Offer:

    • Flexible working culture and hybrid working model
    • 5 working days per week.
    • Work-life balance
    • Supportive and friendly environment in an international team with a global outreach


    How to Apply:

    Qualified candidates interested in building a career in this fast-growing company with a challenging work environment should apply.


    Kindly send your job cover letter (not more than 1 page) and resume in English.


    All job applicants will be treated with strict confidentiality. Only short-listed candidates will be contacted.

    Applicants from diverse backgrounds and underrepresented groups are encouraged to apply.


    If your qualification is matched with the requirement above, please submit your online application directly through NodeFlair system at :




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