KGS MC | Data \u0026 Analytics | Data Scientist

Job description

Roles & Responsibilities

•
Translate
business objectives into analytic approaches, and identify data sources to
support analysis.

•
Analyse
and model structured data using advanced statistical methods

•
Perform
exploratory data analyses, generate and test working hypotheses, prepare and analyse
historical data and identify patterns.

•
Analyse
data using R, open source packages and commercial/enterprise applications.

• Perform
machine learning, Text analytics, and statistical analysis methods, such as
classification, collaborative filtering, association rules, sentiment analysis,
topic modelling, time-series analysis, regression, statistical inference, and
validation methods.

•
Implement
algorithms and software needed to perform analyses

• Drive
client engagements focused on Advanced Business Analytics, in diverse domains
such as product development, marketing research, public policy, optimization,
and risk management.

•
Interface
with databases (SQL) to extract, transform and load data

•
Communicate
results and educate others through reports and presentations.

Technical skills

• Ability to
break down complex problems, and develop strategies to solve them

• Masters, or
PhD in Computer Science, Statistics, Mathematics, Engineering, Operations
Research, or related fields, with 5+ years of relevant experience

• Strong
mathematical background with ability to understand algorithms and methods from
a mathematical viewpoint and an intuitive viewpoint is a PLUS

• Expertise in
at least one of the following fields: machine learning, statistical modeling,
data mining, or information retrieval with good experience of end-to-end
analytical process

• Develop and
apply machine learning, and statistical analysis methods, such as
classification, collaborative filtering, association rules, time-series
analysis, advanced regression methods and hypothesis testing

• Good
experience in data extraction and processing, using SQL

• Exposure to
analytics related to financial services domain is preferred

• Proficiency
in analytics tools like R, SAS

Behavioral / team skills

• Should be a
Self-starter

• Should have
excellent communication skills both written and oral.

• should be a
quick learner

• should have
worked in an Agile methodology is a plus, but not mandatory

• Very good
team player