Job title: Data Scientist
Job type: Permanent
Emp type: Full-time
Salary type: Annual
Salary: negotiable
Job published: 07-11-2019
Job ID: 35246

Job Description

Data Scientist 
 
The Opportunity 
We are looking to recruit Data Scientist with a strong intellectual curiosity, and a passion for achieving practical business impact. Skills in quantitative analysis, problem definition, synthesis & recommendation development will be essential. You will have great social skills, initiative, and integrity. Exceptional business judgment and quantitative analytic ability.  
The Data Scientist will play a key part of our strategy and will work closely with our propitiatory project management and content editing system. 
 
Job responsibilities include: 
Apply advanced data science, AI and machine learning techniques to solve challenging real-world problems in the areas of financial trading network and system performance. Engage in on-going learning to identify and develop valuable new sources of data and machine learning technologies with applicability to our product and solution roadmap. Work with customer-facing platforms and teams to understand and meet the needs of our clients and end-users. Collaborate with product development teams and contribute to product design, development, delivery and support. Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets. Utilize statistical natural language processing to mine unstructured data, and create insights; analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses. Build document clustering, topic analysis, topic modelling, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi structured data Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices. Creating dynamic decision-making processes and trying to predict future events from the historical data. Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients. Visualize data to tell compelling stories 

 
 
Requirements: Ph.D. degree in computer science, mathematics, statistics, or a related technical discipline. A proven track record of designing and implementing successful machine learning solutions for real world problems. Excellent programming skills in Python or Java/Scala. Advanced practical knowledge of data science and machine learning /AI development frameworks. Evidence of strong written and verbal communication skills, such as published materials or conference/presentations.