Lead Data Scientist at Viscar Industrial Capacity

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.

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
• 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.