Maybank

Data Scientist

Job description

JOB DETAILS

Job Type

Permanent

Position Level

Manager

Qualification

Degree

Discipline

Computer Science

Specialization

Business Analytics

Sector

International

Experience

4 - 7 years

Salary

Undisclosed

JOB DESCRIPTION

We are looking for a Data Scientist (DS) to makes value out of data. DS proactively fetches information from various sources and analyzes it for better understanding about how the business performs and driving recommendations using those insights.

JOB RESPONSIBILITIES

-Work with the business to resolve problem statements through insights from data and driving recommendations using those insights -Provide value-add analysis to business through use of visualisation software to guide and derive insights from the analysis and synthesising into clear communication -Extract data from a variety of relational databases, manipulate and explore data using quantitative, statistical and visualisation tools -Apply appropriate modelling techniques to develop predictive models

JOB SKILLS

1)Interpersonal
2)Business-Intelligence
3)Business-Storytelling
4)Analytical
5)Conceptual

JOB REQUIREMENTS

-Bachelor’s Degree in Computer Science, Statistics, Finance, Math, Operations research or other related field -Atleast 4+ years exposure to Financial Services, Consulting, Fintech / Technology with minimum 2 years of analytics experience. Candidate with prior experience in direct business roles will be preferred. -Strong hands-on experience in using advanced analytics and BI tools like R, Python, SAS, PIG, HIVE and SPSS. -Capable to do data-storytelling and visualize comprehensive datasets into a story-telling mode, and creating holistic interactive dashboard using Tableau, will be added advantage. -Broad understanding of analytical approaches like financial modelling & simulation, hypothesis testing, statistics models (e.g. logistic regressions, decision trees) -Good conceptual knowledge in applications of advanced analytical statistic models (e.g. multivariate analysis, generalized linear models and other modern data mining or predictive modeling techniques) -Working knowledge of website analytics tools (e.g. Google Analytics, NetInsight, Omniture, WebTrends) will be beneficial.

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