Head - Analytics & Data Science - KPO

Head of Analytics and Data Science

Analytic Skills - Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, such as R, Weka, NumPy, SciPy, NLTK, spaCy.

Scripting Skills - SQL (MySQL), NoSQL (MongoDB), Python, Perl, Java

Responsibilities

Leadership/Supervisory Role - This is the first and most prominent role of the Head of Data Science and in this leadership position he is responsible for playing the role of leading innovation within the business and, as such, he defines how the business creates additional value through the utilization of its data assets and analytics.

Strategy - The Head of Data Science also plays a strategic role where he is tasked with continuously improving the business's data analysis models, creating an industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning in the department.

Collaboration - The role of the Head of Data Science is a highly collaborative one and in this position he works closely with Sales, Product, Marketing and Engineering Teams in creating various analytical solutions.

Analytics - The Head of Data Science will also play an analytical role where he will drive experimental data modeling designs within the business. He will constantly run A/B tests in order to evaluate changes in the business's product/services. It is also the duty of the Head of Data Science to track the business's performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement.

Knowledge -The Head of Data Science is tasked with maintaining a deep understanding of the business's marketplace dynamics. He takes initiative and conducts exploratory data analyses and experimental model designs, which will help the business to better understand various trends and market behavior and settle on the most suitable strategies to drive success and achievements of goals and targets.

Qualifications

Education - The Head of Data Science has to have a master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. A working experience of the same is also acceptable for the position.

Experience - A candidate for this position has to have had at least 7 years of working experience in a data science position, preferably working as a Senior Data Scientist. The candidate for this position will have to be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Perl, Java, among others.

Communication Skills - Communication skills will also be a necessity for the Head of Data Science. As a departmental leader, he must be able to convey important messages and information down the line in order to ensure proper exception of duties by junior data science personnel. At the same time, he must be able to understand business challenges and articulate proposed solutions in simpler terms.

Interpersonal Skills - A suitable candidate for this position will be a team-builder, be result-oriented, be proactive and self-driven requiring minimal supervision, be open and welcoming to change, be a creative and strategic thinker, have innovative problem-solving skills, be highly organised, have an ability to handle multiple simultaneous tasks prioritise and meet tight deadlines, and demonstrate calmness in times of uncertainty and stress.