Data Scientist

Reporting to Head – Business Intelligence. You will be responsible for applying data mining techniques, doing statistical analysis, building high quality prediction algorithms, developing analytical reports and devising analytical solutions to use cases and data science problems. The primary requirement is not related to traditional programming or systems analysis skills but to the ability to create sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.

The successful jobholder will be required to possess the following qualifications: –

• A degree in mathematics, statistics, data sciences or related quantitative fields.

• A minimum 3-5 years of business experience as a Data Scientist or applied data experience is required.

• Experience with relational databases such as Oracle, SQL queries, or OLAP cubes is preferred.

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM and Decision Forests

• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable

• Proficiency in using query languages such as SQL, Hive, Pig and Experience with NoSQL databases, such as MongoDB, Cassandra, HBase

• Good applied statistics skills, such as distributions, statistical testing, regression, etc. with good scripting and programming skills

• Knowledge of agile software development process and performance metric tools

• Experience extracting and cleaning text in different formats e.g. HTML, pdf files

• Proven ability to collaborate with other team members across boundaries and contribute productively to the team’s work and output, demonstrating respect for different points of view. Able to use strong interpersonal and teamwork skills to cultivate effective, productive client relationships and partnerships across organizational boundaries.

• Strong co-ordination and project management skills to handle complex projects