Lead Data Scientist
Our client, a Leading Telecommunications Firm with operations in Africa, seeks to recruit talented, dynamic and result-oriented professionals to fill the above position.
Our client, a Leading Telecommunications Firm with operations in Africa, seeks to recruit talented, dynamic and result-oriented professionals to fill the above position.
Purpose of the Job
The
position holder will lead the data science team to create value and variety of
data using advance analytical and statistical methods and models to answer
complex business questions that will aid in decision making, unlocking new
revenue opportunities and areas to create efficiency through deep insights.
·
Data mining using state-of-the-art
methods
·
Selecting features, building and
optimizing classifiers using machine learning techniques
·
Processing, cleansing, and verifying
the integrity of data used for analysis
·
Collaborate with business units and
engineering teams to understand and prioritize company needs and devise
possible solutions based on business use cases
·
Create various machine learning-based
tools or processes within the company, such as recommendation engines or
automated lead scoring systems to drive revenue or create cost efficiencies
·
Create visualizations using state of
the art visualization tools
·
Lead and manage data science team
Qualifications
·
or MS. in Computer Science,
Statistics, Mathematics or equivalent practical experience
·
5 – 8 years data science working
experience and with a leadership role.
·
Excellent understanding of machine
learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision
Forests
Skills and Knowledge
·
Experience with common data science
toolkits, such as R, Weka, NumPy, MatLab
·
Experience with data visualization
tools, such as D3.js, GGplot
·
Experience with NoSQL databases, such
as MongoDB, Cassandra, HBase
·
Good applied statistics skills, such
as distributions, statistical testing, regression
·
Good scripting and programming skills
·
Good understanding of big data
technologies like Hadoop
·
Strong communications and
interpersonal skills and quick grasps to understand business problems.
Junior Data Scientist
Our client, a Leading
Telecommunications Firm with operations in Africa, seeks to recruit talented,
dynamic and result-oriented professionals to fill the above position.
Purpose of the Job
The position holder will create value
from variety of data using advance analytical and statistical methods and
models to answer complex business questions.
Responsibilities
·
Data mining using state-of-the-art
methods
·
Selecting features, building and
optimizing classifiers using machine learning techniques
·
Processing, cleansing, and verifying
the integrity of data used for analysis
·
Collaborate with business units and
engineering teams to understand and prioritize company needs and devise
possible solutions based on business use cases
·
Create various machine learning-based
tools or processes within the company, such as recommendation engines or
automated lead scoring systems to drive revenue or create cost efficiencies
·
Create visualizations using state of
the art visualization tools
Qualifications
·
Degree in Computer Science,
Statistics, Mathematics or equivalent practical experience
·
1 – 2 years data science working
experience and with a leadership role.
·
Excellent understanding of machine
learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision
Forests
Skills and Knowledge
·
Experience with common data science
toolkits, such as R, Weka, NumPy, MatLab
·
Experience with data visualization
tools, such as D3.js, GGplot
·
Experience with NoSQL databases, such
as MongoDB, Cassandra, HBase
·
Good applied statistics skills, such
as distributions, statistical testing and regression
·
Good scripting and programming skills
·
Good understanding of big data
technologies like Hadoop
·
Strong communications and
interpersonal skills and quick grasps to understand business problems
How to Apply
Interested candidates are encouraged
to sign up, fill in their profile and apply through our HR portal at http://viscarcapacity.com/careers/ not later than 30th
November, 2018.
